Vivek Sarkar - researchr profile publications

researchr

explore
calendar
search

You are not signed in
Sign in
Sign up

Publications with a 'Vivek Sarkar' as author, editor, or advisor:

OMPSan: Static Verification of OpenMP's Data Mapping ConstructsPrithayan Barua, Jun Shirako, Whitney Tsang, Jeeva Paudel, Wang Chen, Vivek Sarkar. iwomp 2019: 3-18 [doi]
PPPJ 2003: invited talkVivek Sarkar. PPPJ 2003: 165 [doi]
Enabling Multi-threading in Heterogeneous Quantum-Classical Programming ModelsAkihiro Hayashi, Austin Adams, Jeffrey Young 0001, Alexander McCaskey, Eugene F. Dumitrescu, Vivek Sarkar, Thomas M. Conte. ipps 2023: 509-516 [doi]
Static Cost Estimation for Data Layout Selection on GPUsYuhan Peng, Max Grossman, Vivek Sarkar. sc 2016: 76-86 [doi]
GT-Race: Graph Traversal Based Data Race Detection for Asynchronous Many-Task ParallelismLechen Yu, Vivek Sarkar. europar 2018: 59-73 [doi]
Machine-Learning-based Performance Heuristics for Runtime CPU/GPU SelectionAkihiro Hayashi, Kazuaki Ishizaki, Gita Koblents, Vivek Sarkar. PPPJ 2015: 27-36 [doi]
Compilation techniques for parallel systemsRajiv Gupta, Santosh Pande, Kleanthis Psarris, Vivek Sarkar. pc, 25(13-14):1741-1783, 1999.
An Extended Polyhedral Model for SPMD Programs and Its Use in Static Data Race DetectionPrasanth Chatarasi, Jun Shirako, Martin Kong, Vivek Sarkar. lcpc 2017: 106-120 [doi]
In-Register Parameter Caching for Dynamic Neural Nets with Virtual Persistent Processor SpecializationFarzad Khorasani, Hodjat Asghari Esfeden, Nael B. Abu-Ghazaleh, Vivek Sarkar. micro 2018: 377-389 [doi]
Challenges in Code Optimization of Parallel ProgramsVivek Sarkar. CC 2009: 1 [doi]
Automatic selection of high-order transformations in the IBM XL FORTRAN compilersVivek Sarkar. ibmrd, 41(3):233-264, 1997. [doi]
Efficient Dependence Analysis for Java ArraysVivek Sarkar, Stephen J. Fink. europar 2001: 273-277 [doi]
Integrating task parallelism with actorsShams Mahmood Imam, Vivek Sarkar. OOPSLA 2012: 753-772 [doi]
SHMEM-ML: Leveraging OpenSHMEM and Apache Arrow for Scalable, Composable Machine LearningMax Grossman, Steve Poole, Howard Pritchard, Vivek Sarkar. openshmem 2022: 111-125 [doi]
HJ-OpenCL: Reducing the Gap Between the JVM and AcceleratorsMax Grossman, Shams Imam, Vivek Sarkar. PPPJ 2015: 2-15 [doi]
Integrating Asynchronous Task Parallelism with MPISanjay Chatterjee, Sagnak Tasirlar, Zoran Budimlic, Vincent Cavé, Milind Chabbi, Max Grossman, Vivek Sarkar, YongHong Yan. ipps 2013: 712-725 [doi]
MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN MappingsHyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, Michael Pellauer, Angshuman Parashar. micro, 40(3):20-29, 2020. [doi]
An analytical model for loop tiling and its solutionVivek Sarkar, Nimrod Megiddo. In ISPASS. 2000: 146-153 [doi]
Extreme scale computing: Challenges and opportunitiesJosep Torrellas, Bill Gropp, Vivek Sarkar, Jaime Moreno, Kunle Olukotun. hpca 2010: 1 [doi]
Architectural Support for Programming Languages and Operating Systems, ASPLOS '13, Houston, TX, USA - March 16 - 20, 2013Vivek Sarkar, Rastislav Bodík, editors, ACM, 2013. [doi]
The Eureka Programming Model for Speculative Task ParallelismShams Imam, Vivek Sarkar. ECOOP 2015: 421-444 [doi]
OpenMP as a High-Level Specification Language for Parallelism - And its use in Evaluating Parallel Programming SystemsMax Grossman, Jun Shirako, Vivek Sarkar. iwomp 2016: 141-155 [doi]
Scheduling Iterative Task Computation on Message-Passing ArchitecturesTao Yang, Pedro C. Diniz, Apostolos Gerasoulis, Vivek Sarkar. ppsc 1995: 581-586
Hierarchical Place Trees: A Portable Abstraction for Task Parallelism and Data MovementYongHong Yan, Jisheng Zhao, Yi Guo, Vivek Sarkar. lcpc 2010: 172-187 [doi]
A compiler framework for restructuring data declarations to enhance cache and TLB effectivenessDavid F. Bacon, Jyh-Herng Chow, Dz-ching Ju, Kalyan Muthukumar, Vivek Sarkar. cascon 1994: 3 [doi]
Programming, compilation, and resource management issues for multithreading (panel session II)Burt Halstead, David Callahan, Jack Dennis, R. S. Nikhil, Vivek Sarkar. sigarch, 22(1):19-33, 1994. [doi]
XJ: facilitating XML processing in JavaMatthew Harren, Mukund Raghavachari, Oded Shmueli, Michael G. Burke, Rajesh Bordawekar, Igor Pechtchanski, Vivek Sarkar. WWW 2005: 278-287 [doi]
Efficient Checkpointing of Multi-threaded Applications as a Tool for Debugging, Performance Tuning, and ResiliencyMax Grossman, Vivek Sarkar. ipps 2016: 232-241 [doi]
Transitive joins: a sound and efficient online deadlock-avoidance policyCaleb Voss, Tiago Cogumbreiro, Vivek Sarkar. ppopp 2019: 378-390 [doi]
Optimized Distributed Work-StealingVivek Kumar 0001, Karthik Murthy, Vivek Sarkar, Yili Zheng. sc 2016: 74-77 [doi]
Decentralizing execution of composite web servicesMangala Gowri Nanda, Satish Chandra, Vivek Sarkar. OOPSLA 2004: 170-187 [doi]
Using Polyhedral Analysis to Verify OpenMP Applications are Data Race FreeFangke Ye, Markus Schordan, Chunhua Liao, Pei-Hung Lin, Ian Karlin, Vivek Sarkar. sc 2018: 42-50 [doi]
Phasers: a unified deadlock-free construct for collective and point-to-point synchronizationJun Shirako, David M. Peixotto, Vivek Sarkar, William N. Scherer III. ics 2008: 277-288 [doi]
Deadlock-free scheduling of X10 computations with bounded resourcesShivali Agarwal, Rajkishore Barik, Dan Bonachea, Vivek Sarkar, R. K. Shyamasundar, Katherine A. Yelick. spaa 2007: 229-240 [doi]
Memory access scheduling to reduce thread migrationsSana Damani, Prithayan Barua, Vivek Sarkar. CC 2022: 144-155 [doi]
Valence: variable length calling context encodingTong Zhou, Michael R. Jantz, Prasad A. Kulkarni, Kshitij A. Doshi, Vivek Sarkar. CC 2019: 147-158 [doi]
Model Checking Task Parallel Programs Using Gradual Permissions (N)Eric G. Mercer, Peter Anderson, Nick Vrvilo, Vivek Sarkar. ASE 2015: 535-540 [doi]
A General Framework for Iteration-Reordering Loop TransformationsVivek Sarkar, Radhika Thekkath. PLDI 1992: 175-187
High-Performance Scalable Java Virtual MachinesVivek Sarkar, Julian Dolby. hipc 2001: 151-166 [doi]
Dynamic compilation in Jalapeño (Panel Session)Ron Cytron, Vivek Sarkar. dynamo 2000: 78 [doi]
Proceedings of the ACM SIGPLAN 2005 Conference on Programming Language Design and Implementation, Chicago, IL, USA, June 12-15, 2005Vivek Sarkar, Mary W. Hall, editors, ACM, 2005.
Accelerating Habanero-Java programs with OpenCL generationAkihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar. PPPJ 2013: 124-134 [doi]
Reducing task creation and termination overhead in explicitly parallel programsJisheng Zhao, Jun Shirako, V. Krishna Nandivada, Vivek Sarkar. IEEEpact 2010: 169-180 [doi]
Immutability specification and its applicationsIgor Pechtchanski, Vivek Sarkar. concurrency, 17(5-6):639-662, 2005. [doi]
Inter-iteration Scalar Replacement Using Array SSA FormRishi Surendran, Rajkishore Barik, Jisheng Zhao, Vivek Sarkar. CC 2014: 40-60 [doi]
Analytical Bounds for Optimal Tile Size SelectionJun Shirako, Kamal Sharma, Naznin Fauzia, Louis-Noël Pouchet, J. Ramanujam, P. Sadayappan, Vivek Sarkar. CC 2012: 101-121 [doi]
A Concurrent Execution Semantics for Parallel Program Graphs and Program Dependence GraphsVivek Sarkar. lcpc 1993: 16-30
An Affine Scheduling Framework for Integrating Data Layout and Loop TransformationsJun Shirako, Vivek Sarkar. lcpc 2022: 3-19 [doi]
RegMutex: Inter-Warp GPU Register Time-SharingFarzad Khorasani, Hodjat Asghari Esfeden, Amin Farmahini Farahani, Nuwan Jayasena, Vivek Sarkar. isca 2018: 816-828 [doi]
A Productive and Scalable Actor-Based Programming System for PGAS ApplicationsSri Raj Paul, Akihiro Hayashi, Kun Chen, Vivek Sarkar. iccs 2022: 233-247 [doi]
Enabling Resilience in Asynchronous Many-Task Programming ModelsSri Raj Paul, Akihiro Hayashi, Nicole Slattengren, Hemanth Kolla, Matthew Whitlock, Seonmyeong Bak, Keita Teranishi, Jackson Mayo, Vivek Sarkar. europar 2019: 346-360 [doi]
Heterogeneous Habanero-C (H2C): A Portable Programming Model for Heterogeneous ProcessorsDeepak Majeti, Vivek Sarkar. ipps 2015: 708-717 [doi]
APPy: Annotated Parallelism for Python on GPUsTong Zhou, Jun Shirako, Vivek Sarkar. CC 2024: 113-125 [doi]
A Unified Approach to Variable Renaming for Enhanced VectorizationPrasanth Chatarasi, Jun Shirako, Albert Cohen 0001, Vivek Sarkar. lcpc 2019: 1-20 [doi]
Exploiting parallelism in mobile devicesArghya Chatterjee, Timothy Newton, Tom Roush, Hunter Tidwell, Vivek Sarkar. OOPSLA 2015: 38-39 [doi]
Topkapi: Parallel and Fast Sketches for Finding Top-K Frequent ElementsAnkush Mandal, He Jiang, Anshumali Shrivastava, Vivek Sarkar. nips 2018: 10921-10931 [doi]
PACT '20: International Conference on Parallel Architectures and Compilation Techniques, Virtual Event, GA, USA, October 3-7, 2020Vivek Sarkar, Hyesoon Kim, editors, ACM, 2020. [doi]
Integrating Asynchronous Task Parallelism with OpenSHMEMMax Grossman, Vivek Kumar 0001, Zoran Budimlic, Vivek Sarkar. openshmem 2016: 3-17 [doi]
Compile-Time Library Call Detection Using CAASCADE and XALTJisheng Zhao, Oscar R. Hernandez, Reuben D. Budiardja, M. Graham Lopez, Vivek Sarkar, Jack C. Wells. supercomputer 2018: 440-447 [doi]
Exploring Compiler Optimization Opportunities for the OpenMP 4.× Accelerator Model on a POWER8+GPU PlatformAkihiro Hayashi, Jun Shirako, Ettore Tiotto, Robert Ho, Vivek Sarkar. sc 2016: 68-78 [doi]
Design, verification and applications of a new read-write lock algorithmJun Shirako, Nick Vrvilo, Eric G. Mercer, Vivek Sarkar. spaa 2012: 48-57 [doi]
Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approachMatthew Whitlock, Nicolas Morales, George Bosilca, Aurelien Bouteiller, Bogdan Nicolae, Keita Teranishi, Elisabeth Giem, Vivek Sarkar. cluster 2022: 418-428 [doi]
High Performance Multilevel Graph Partitioning on GPUBahareh Goodarzi, Farzad Khorasani, Vivek Sarkar, Dhrubajyoti Goswami. ieeehpcs 2019: 769-778 [doi]
IntroductionVivek Sarkar, Fabrice Rastello. In Fabrice Rastello, Florent Bouchez-Tichadou, editors, SSA-based Compiler Design. pages 157-163, Springer, 2022. [doi]
HIPLZ: Enabling performance portability for exascale systemsJisheng Zhao, Colleen Bertoni, Jeffrey Young 0001, Kevin Harms, Vivek Sarkar, Brice Videau. concurrency, 35(25), 2023. [doi]
Exploration of Supervised Machine Learning Techniques for Runtime Selection of CPU vs. GPU Execution in Java ProgramsGloria Y. K. Kim, Akihiro Hayashi, Vivek Sarkar. sc 2018: 125-144 [doi]
Program analysis for safety guarantees in a Java virtual machine written in JavaJan-Willem Maessen, Vivek Sarkar, David Grove. PASTE 2001: 62-65 [doi]
Polyhedral Optimizations of Explicitly Parallel ProgramsPrasanth Chatarasi, Jun Shirako, Vivek Sarkar. IEEEpact 2015: 213-226 [doi]
False Sharing Elimination by Selection of Runtime Scheduling ParametersJyh-Herng Chow, Vivek Sarkar. icpp 1997: 396-403 [doi]
Concrete Type Inference for Code Optimization using Machine Learning with SMT SolvingFangke Ye, Jisheng Zhao, Jun Shirako, Vivek Sarkar. PACMPL, 7(OOPSLA2):773-800, October 2023. [doi]
Automatic partitioning of a program dependence graph into parallel tasksVivek Sarkar. ibmrd, 35(5):779-804, 1991.
Communication Optimizations for Distributed-Memory X10 ProgramsRajkishore Barik, Jisheng Zhao, David Grove, Igor Peshansky, Zoran Budimlic, Vivek Sarkar. ipps 2011: 1101-1113 [doi]
Load Balancing Prioritized Tasks via Work-StealingShams Imam, Vivek Sarkar. europar 2015: 222-234 [doi]
Extreme scale computing: challenges and opportunitiesJosep Torrellas, Bill Gropp, Jaime Moreno, Kunle Olukotun, Vivek Sarkar. ppopp 2010: 101-102 [doi]
Automatic parallelization for symmetric shared-memory multiprocessorsJyh-Herng Chow, Leonard E. Lyon, Vivek Sarkar. cascon 1996: 5 [doi]
Unified Analysis of Array and Object References in Strongly Typed LanguagesStephen J. Fink, Kathleen Knobe, Vivek Sarkar. SAS 2000: 155-174
Dynamic Optimistic Interprocedural Analysis: A Framework and an ApplicationIgor Pechtchanski, Vivek Sarkar. OOPSLA 2001: 195-210
Collective Loop Fusion for Array ContractionGuang R. Gao, R. Olsen, Vivek Sarkar, Radhika Thekkath. lcpc 1993: 281-295
The Open Community Runtime: A runtime system for extreme scale computingTimothy G. Mattson, Romain Cledat, Vincent Cavé, Vivek Sarkar, Zoran Budimlic, Sanjay Chatterjee, Joshua B. Fryman, Ivan Ganev, Robin Knauerhase, Min Lee, Benoît Meister, Brian Nickerson, Nick Pepperling, Bala Seshasayee, Sagnak Tasirlar, Justin Teller, Nick Vrvilo. hpec 2016: 1-7 [doi]
Optimized Unrolling of Nested LoopsVivek Sarkar. ijpp, 29(5):545-581, 2001.
Implementation and Evaluation of OpenSHMEM Contexts Using OFI LibfabricMax Grossman, Joseph Doyle, James Dinan, Howard Pritchard, Kayla Seager, Vivek Sarkar. openshmem 2018: 19-34 [doi]
Proceedings of the 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 2009, Raleigh, NC, USA, February 14-18, 2009Daniel A. Reed, Vivek Sarkar, editors, ACM, 2009.
Efficient data race detection for async-finish parallelismRaghavan Raman, Jisheng Zhao, Vivek Sarkar, Martin T. Vechev, Eran Yahav. fmsd, 41(3):321-347, 2012. [doi]
Chunking parallel loops in the presence of synchronizationJun Shirako, Jisheng M. Zhao, V. Krishna Nandivada, Vivek Sarkar. ics 2009: 181-192 [doi]
Heterogeneous work-stealing across CPU and DSP coresVivek Kumar 0001, Alina Simion Sbîrlea, Ajay Jayaraj, Zoran Budimlic, Deepak Majeti, Vivek Sarkar. hpec 2015: 1-6 [doi]
Efficient Data Race Detection for Async-Finish ParallelismRaghavan Raman, Jisheng Zhao, Vivek Sarkar, Martin T. Vechev, Eran Yahav. RV 2010: 368-383 [doi]
The habanero multicore software research projectRajkishore Barik, Zoran Budimlic, Vincent CavÃ©, Sanjay Chatterjee, Yi Guo, David M. Peixotto, Raghavan Raman, Jun Shirako, Sagnak Tasirlar, YongHong Yan, Yisheng Zhao, Vivek Sarkar. OOPSLA 2009: 735-736 [doi]
HIPLZ: Enabling Performance Portability for Exascale SystemsJisheng Zhao, Colleen Bertoni, Jeffrey Young, Kevin Harms, Vivek Sarkar, Brice Videau. europar 2023: 197-210 [doi]
Proceedings of the 29th ACM on International Conference on Supercomputing, ICS'15, Newport Beach/Irvine, CA, USA, June 08 - 11, 2015Laxmi N. Bhuyan, Fred Chong, Vivek Sarkar, editors, ACM, 2015. [doi]
Test-driven repair of data races in structured parallel programsRishi Surendran, Raghavan Raman, Swarat Chaudhuri, John M. Mellor-Crummey, Vivek Sarkar. PLDI 2014: 3 [doi]
Determining Average Program Execution Times and their VarianceVivek Sarkar. PLDI 1989: 298-312
Optimized Execution of Parallel Loops via User-Defined Scheduling PoliciesSeonmyeong Bak, Yanfei Guo, Pavan Balaji, Vivek Sarkar. icpp 2019: [doi]
PIPES: a language and compiler for task-based programming on distributed-memory clustersMartin Kong, Louis-Noël Pouchet, P. Sadayappan, Vivek Sarkar. sc 2016: 39 [doi]
Auto-grading for parallel programsMaha Aziz, Heng Chi, Anant Tibrewal, Max Grossman, Vivek Sarkar. sc 2015: [doi]
Fine-Grained Parallelism in Probabilistic Parsing with Habanero JavaMatthew Francis-Landau, Bing Xue, Jason Eisner, Vivek Sarkar. sc 2016: 78-81 [doi]
Enhanced Bitwidth-Aware Register AllocationRajkishore Barik, Vivek Sarkar. CC (empty year): 263-276 [doi]
Efficient and Precise Modeling of Exceptions for the Analysis of Java ProgramsJong-Deok Choi, David Grove, Michael Hind, Vivek Sarkar. PASTE 1999: 21-31 [doi]
Intermediate language extensions for parallelismJisheng Zhao, Vivek Sarkar. OOPSLA 2011: 329-340 [doi]
ReACT: Redundancy-Aware Code Generation for Tensor ExpressionsTong Zhou, Ruiqin Tian, Rizwan A. Ashraf, Roberto Gioiosa, Gokcen Kestor, Vivek Sarkar. IEEEpact 2022: 1-13 [doi]
A Preliminary Study of Compiler Transformations for Graph Applications on the Emu SystemPrasanth Chatarasi, Vivek Sarkar. sc 2018: 37-44 [doi]
Automatic Parallelization of Python Programs for Distributed Heterogeneous ComputingJun Shirako, Akihiro Hayashi, Sri Raj Paul, Alexey Tumanov, Vivek Sarkar. europar 2022: 350-366 [doi]
Common Subexpression Convergence: A New Code Optimization for SIMT ProcessorsSana Damani, Vivek Sarkar. lcpc 2021: 64-73 [doi]
Efficient Selection of Vector Instructions Using Dynamic ProgrammingRajkishore Barik, Jisheng Zhao, Vivek Sarkar. micro 2010: 201-212 [doi]
SLAW: a scalable locality-aware adaptive work-stealing scheduler for multi-core systemsYi Guo, Yisheng Zhao, Vincent CavÃ©, Vivek Sarkar. ppopp 2010: 341-342 [doi]
Programming Challenges for Petascale and Multicore Parallel SystemsVivek Sarkar. hpcc 2007: 1 [doi]
Integrating MPI with Asynchronous Task ParallelismYongHong Yan, Sanjay Chatterjee, Zoran Budimlic, Vivek Sarkar. pvm 2011: 333-336 [doi]
A Simple and Efficient Implmentation Approach for Single Assignment LanguagesKourosh Gharachorloo, Vivek Sarkar, John L. Hennessy. lfp 1988: 259-268 [doi]
Race Detection in Two DimensionsDimitar Dimitrov, Martin T. Vechev, Vivek Sarkar. spaa 2015: 101-110 [doi]
Parallel sparse flow-sensitive points-to analysisJisheng Zhao, Michael G. Burke, Vivek Sarkar. CC 2019: 59-70 [doi]
Compiling and Optimizing Java 8 Programs for GPU ExecutionKazuaki Ishizaki, Akihiro Hayashi, Gita Koblents, Vivek Sarkar. IEEEpact 2015: 419-431 [doi]
An ownership policy and deadlock detector for promisesCaleb Voss 0001, Vivek Sarkar. ppopp 2021: 348-361 [doi]
HOOVER: Leveraging OpenSHMEM for High Performance, Flexible Streaming Graph ApplicationsMax Grossman, Howard Pritchard, Steve Poole, Vivek Sarkar. sc 2020: 55-65 [doi]
X10: an object-oriented approach to non-uniform cluster computingPhilippe Charles, Christian Grothoff, Vijay A. Saraswat, Christopher Donawa, Allan Kielstra, Kemal Ebcioglu, Christoph von Praun, Vivek Sarkar. OOPSLA 2005: 519-538 [doi]
HOOVER: Distributed, Flexible, and Scalable Streaming Graph Processing on OpenSHMEMMax Grossman, Howard Pritchard, Tony Curtis, Vivek Sarkar. openshmem 2019: 109-124 [doi]
A One Year Retrospective on a MOOC in Parallel, Concurrent, and Distributed Programming in JavaVivek Sarkar, Max Grossman, Zoran Budimlic, Shams Imam. sc 2018: 61-68 [doi]
ABCD: eliminating array bounds checks on demandRastislav Bodík, Rajiv Gupta, Vivek Sarkar. PLDI 2000: 321-333 [doi]
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial AcceleratorsPrasanth Chatarasi, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Tushar Krishna, Vivek Sarkar. taco, 19(1), 2022. [doi]
Space-Time Scheduling of Instruction-Level Parallelism on a Raw MachineWalter Lee, Rajeev Barua, Matthew Frank, Devabhaktuni Srikrishna, Jonathan Babb, Vivek Sarkar, Saman P. Amarasinghe. asplos 1998: 46-57 [doi]
Intrepydd: performance, productivity, and portability for data science application kernelsTong Zhou, Jun Shirako, Anirudh Jain, Sriseshan Srikanth, Thomas M. Conte, Richard W. Vuduc, Vivek Sarkar. OOPSLA 2020: 65-83 [doi]
Experimental Insights from the Rogues GalleryJeffrey S. Young 0001, E. Jason Riedy, Thomas M. Conte, Vivek Sarkar, Prasanth Chatarasi, Sriseshan Srikanth. icrc 2019: 80-87 [doi]
Location Consistency: Stepping Beyond the Memory Coherence BarrierGuang R. Gao, Vivek Sarkar. icpp 1995: 73-76
The Jikes Research Virtual Machine project: Building an open-source research communityBowen Alpern, Steve Augart, Stephen M. Blackburn, Maria A. Butrico, Anthony Cocchi, Perry Cheng, Julian Dolby, Stephen J. Fink, David Grove, Michael Hind, Kathryn S. McKinley, Mark F. Mergen, J. Eliot B. Moss, Ton Anh Ngo, Vivek Sarkar, Martin Trapp. IBMSJ, 44(2):399-418, 2005. [doi]
Mapping a data-flow programming model onto heterogeneous platformsAlina Simion Sbîrlea, Yi Zou, Zoran Budimlic, Jason Cong, Vivek Sarkar. lctrts 2012: 61-70 [doi]
The Role of Programming Languages in Future Data-Centric and Net-Centric ApplicationsMukund Raghavachari, Vivek Sarkar. icdcit 2006: 1-13 [doi]
Leveraging the Dynamic Program Structure Tree to Detect Data Races in OpenMP ProgramsLechen Yu, Feiyang Jin, Joachim Protze, Vivek Sarkar. correctness 2022: 54-62 [doi]
A Composable Deadlock-Free Approach to Object-Based IsolationShams Imam, Jisheng Zhao, Vivek Sarkar. europar 2015: 426-437 [doi]
Reducing the overhead of dynamic compilationChandra Krintz, David Grove, Vivek Sarkar, Brad Calder. SPE, 31(8):717-738, 2001.
Unifying Barrier and Point-to-Point Synchronization in OpenMP with PhasersJun Shirako, Kamal Sharma, Vivek Sarkar. iwomp 2011: 122-137 [doi]
Data Layout Optimization for Portable PerformanceKamal Sharma, Ian Karlin, Jeff Keasler, James R. McGraw, Vivek Sarkar. europar 2015: 250-262 [doi]
Elastic Tasks: Unifying Task Parallelism and SPMD Parallelism with an Adaptive RuntimeAlina Simion Sbîrlea, Kunal Agrawal, Vivek Sarkar. europar 2015: 491-503 [doi]
Parallelizing a discrete event simulation application using the Habanero-Java multicore libraryWei-Cheng Xiao, Jisheng Zhao, Vivek Sarkar. ppopp 2015: 86-95 [doi]
HadoopCL2: Motivating the Design of a Distributed, Heterogeneous Programming System With Machine-Learning ApplicationsMax Grossman, Mauricio Breternitz Jr., Vivek Sarkar. tpds, 27(3):762-775, 2016. [doi]
Towards Safe HPC: Productivity and Performance via Rust Interfaces for a Distributed C++ Actors Library (Work in Progress)John Parrish, Nicole Wren, Tsz Hang Kiang, Akihiro Hayashi, Jeffrey Young 0001, Vivek Sarkar. PPPJ 2023: 165-172 [doi]
SCnC: Efficient Unification of Streaming with Dynamic Task ParallelismDragos Sbirlea, Jun Shirako, Ryan Newton, Vivek Sarkar. ijpp, 44(2):233-256, 2016. [doi]
XJ: integration of XML processing into javaMatthew Harren, Mukund Raghavachari, Oded Shmueli, Michael G. Burke, Vivek Sarkar, Rajesh Bordawekar. WWW 2004: 340-341 [doi]
Is there a future for functional languages in parallel programming?Boleslaw K. Szymanski, John Feo, J. Hicks, J. Jagannathan, Vivek Sarkar, David B. Skillicorn. iccl 1994: 299-304
LLVM-based communication optimizations for PGAS programsAkihiro Hayashi, Jisheng Zhao, Michael Ferguson, Vivek Sarkar. sc 2015: [doi]
SWAT: A Programmable, In-Memory, Distributed, High-Performance Computing PlatformMax Grossman, Vivek Sarkar. hpdc 2016: 81-92 [doi]
Automatic data layout generation and kernel mapping for CPU+GPU architecturesDeepak Majeti, Kuldeep S. Meel, Rajkishore Barik, Vivek Sarkar. CC 2016: 240-250 [doi]
Race Detection in Two DimensionsDimitar Dimitrov, Martin T. Vechev, Vivek Sarkar. topc, 4(4), 2018. [doi]
An Optimal Asynchronous Scheduling Algorithm for Software Cache ConsistenceBarbara Simons, Vivek Sarkar, Mauricio Breternitz Jr., Michael Lai. hicss 1994: 502-511
MiniKokkos: A Calculus of Portable ParallelismFeiyang Jin, John Jacobson, Samuel D. Pollard, Vivek Sarkar. correctness 2022: 37-44 [doi]
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric ApproachHyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna. micro 2019: 754-768 [doi]
Language Extensions in Support of Compiler ParallelizationJun Shirako, Hironori Kasahara, Vivek Sarkar. lcpc 2008: 78-94 [doi]
Comparing the usability of library vs. language approaches to task parallelismVincent Cavé, Zoran Budimlic, Vivek Sarkar. PLATEAU 2010: [doi]
Location Consistency-A New Memory Model and Cache Consistency ProtocolGuang R. Gao, Vivek Sarkar. TC, 49(8):798-813, 2000. [doi]
Integrating Inter-Node Communication with a Resilient Asynchronous Many-Task Runtime SystemSri Raj Paul, Akihiro Hayashi, Matthew Whitlock, Seonmyeong Bak, Keita Teranishi, Jackson Mayo, Max Grossman, Vivek Sarkar. sc 2020: 41-51 [doi]
Pedagogy and tools for teaching parallel computing at the sophomore undergraduate levelMax Grossman, Maha Aziz, Heng Chi, Anant Tibrewal, Shams Imam, Vivek Sarkar. jpdc, 105:18-30, 2017. [doi]
Federated Computing Research Conference, FCRC 2015, Portland, OR, USA, June 12-20, 2015 - VideosRajiv Gupta, Vivek Sarkar, editors, ACM, 2015. [doi]
Hardware and Software Tradeoffs for Task Synchronization on Manycore ArchitecturesYongHong Yan, Sanjay Chatterjee, Daniel A. Orozco, Elkin Garcia, Zoran Budimlic, Jun Shirako, Robert S. Pavel, Guang R. Gao, Vivek Sarkar. europar 2011: 112-123 [doi]
Linear scan register allocationMassimiliano Poletto, Vivek Sarkar. TOPLAS, 21(5):895-913, 1999. [doi]
Immutability specification and its applicationsIgor Pechtchanski, Vivek Sarkar. java 2002: 202-211 [doi]
A Study of Memory Anomalies in OpenMP ApplicationsLechen Yu, Joachim Protze, Oscar R. Hernandez, Vivek Sarkar. iwomp 2020: 328-342 [doi]
Integrating Database and Programming Language ConstraintsOded Shmueli, Mukund Raghavachari, Vivek Sarkar, Rajesh Bordawekar, Michael G. Burke. DBPL 2004: 90-109 [doi]
HJ-Viz: a new tool for visualizing, debugging and optimizing parallel programsPeter Elmers, HongYu Li, Shams Mahmood Imam, Vivek Sarkar. OOPSLA 2014: 53-54 [doi]
Parallel Program Graphs and their ClassificationVivek Sarkar, Barbara Simons. lcpc 1994: 633-655
X10: concurrent programming for modern architecturesVijay A. Saraswat, Vivek Sarkar, Christoph von Praun. ppopp 2007: 271 [doi]
The Jalapeño virtual machineBowen Alpern, C. Richard Attanasio, John J. Barton, Michael G. Burke, Perry Cheng, Jong-Deok Choi, Anthony Cocchi, Stephen J. Fink, David Grove, Michael Hind, Susan Flynn Hummel, Derek Lieber, Vassily Litvinov, Mark F. Mergen, Ton Ngo, James R. Russell, Vivek Sarkar, Mauricio J. Serrano, Janice C. Shepherd, Stephen E. Smith, Vugranam C. Sreedhar, Harini Srinivasan, John Whaley. IBMSJ, 39(1):211, 2000. [doi]
A comparative study of static and profile-based heuristics for inliningMatthew Arnold, Stephen J. Fink, Vivek Sarkar, Peter F. Sweeney. dynamo 2000: 52-64 [doi]
Compact Representations for Control DependenceRon Cytron, Jeanne Ferrante, Vivek Sarkar. PLDI 1990: 337-351
May-happen-in-parallel analysis of X10 programsShivali Agarwal, Rajkishore Barik, Vivek Sarkar, R. K. Shyamasundar. ppopp 2007: 183-193 [doi]
Dynamic Determinacy Race Detection for Task Parallelism with FuturesRishi Surendran, Vivek Sarkar. RV 2016: 368-385 [doi]
HadoopCL: MapReduce on Distributed Heterogeneous Platforms through Seamless Integration of Hadoop and OpenCLMax Grossman, Mauricio Breternitz Jr., Vivek Sarkar. ipps 2013: 1918-1927 [doi]
A Multi-Level Platform-Independent GPU API for High-Level Programming ModelsAkihiro Hayashi, Sri Raj Paul, Vivek Sarkar. supercomputer 2022: 90-107 [doi]
Automatic Localization for Distributed-Memory Multiprocessors Using a Shared-Memory Compilation FrameworkVivek Sarkar, Lelia A. Vazquez. hicss 1994: 4-13
Efficient and Precise Datarace Detection for Multithreaded Object-Oriented ProgramsJong-Deok Choi, Keunwoo Lee, Alexey Loginov, Robert O Callahan, Vivek Sarkar, Manu Sridharan. PLDI 2002: 258-269 [doi]
Modeling the conflicting demands of parallelism and Temporal/Spatial locality in affine schedulingOleksandr Zinenko, Sven Verdoolaege, Chandan Reddy, Jun Shirako, Tobias Grosser, Vivek Sarkar, Albert Cohen 0001. CC 2019: 3-13 [doi]
Type inference for locality analysis of distributed data structuresSatish Chandra, Vijay A. Saraswat, Vivek Sarkar, Rastislav Bodík. ppopp 2008: 11-22 [doi]
Phaser accumulators: A new reduction construct for dynamic parallelismJun Shirako, David M. Peixotto, Vivek Sarkar, William N. Scherer III. ipps 2009: 1-12 [doi]
Scalable and precise dynamic datarace detection for structured parallelismRaghavan Raman, Jisheng Zhao, Vivek Sarkar, Martin T. Vechev, Eran Yahav. PLDI 2012: 531-542 [doi]
Optimized unrolling of nested loopsVivek Sarkar. ics 2000: 153-166 [doi]
Exploring a multi-resolution GPU programming model for ChapelAkihiro Hayashi, Sri Raj Paul, Vivek Sarkar. ipps 2020: 675 [doi]
MiniApp for Density Matrix Renormalization Group Hamiltonian Application KernelWael R. Elwasif, Eduardo F. D'Azevedo, Arghya Chatterjee, Gonzalo Alvarez, Oscar Hernandez, Vivek Sarkar. cluster 2018: 590-597 [doi]
Instruction Reordering for Fork-Join ParallelismVivek Sarkar. PLDI 1990: 322-336
Savina - An Actor Benchmark Suite: Enabling Empirical Evaluation of Actor LibrariesShams Mahmood Imam, Vivek Sarkar. agere 2014: 67-80 [doi]
On the Importance of an End-To-End View of Memory Consistency in Future Computer SystemsGuang R. Gao, Vivek Sarkar. ishpc 1997: 30-41
SLAW: A scalable locality-aware adaptive work-stealing schedulerYi Guo, Jisheng Zhao, Vincent Cavé, Vivek Sarkar. ipps 2010: 1-12 [doi]
Proceedings of the 12th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, Atlanta, GA, USA, April 2-3, 2016Vishakha Gupta-Cledat, Donald E. Porter, Vivek Sarkar, editors, ACM, 2016. [doi]
Locality Analysis for Distributed Shared-Memory MultiprocessorsVivek Sarkar, Guang R. Gao, Shaohua Han. lcpc 1997: 20-40
Automatic Discovery of Parallelism: A Tool and an Experiment (Extended Abstract)Michael G. Burke, Ron Cytron, Jeanne Ferrante, Wilson C. Hsieh, Vivek Sarkar, David Shields. ppopp 1988: 77-84
Habanero-Java library: a Java 8 framework for multicore programmingShams Mahmood Imam, Vivek Sarkar. PPPJ 2014: 75-86 [doi]
Polyhedral Optimizations for a Data-Flow Graph LanguageAlina Simion Sbîrlea, Jun Shirako, Louis-Noël Pouchet, Vivek Sarkar. lcpc 2016: 57-72 [doi]
OpenMP application experiences: Porting to accelerated nodesSeonmyeong Bak, Colleen Bertoni, Swen Boehm, Reuben D. Budiardja, Barbara M. Chapman, Johannes Doerfert, Markus Eisenbach 0002, Hal Finkel, Oscar R. Hernandez, Joseph Huber, Shintaro Iwasaki, Vivek Kale, Paul R. C. Kent, JaeHyuk Kwack, Meifeng Lin, Piotr Luszczek, Ye Luo, Buu Pham, Swaroop Pophale, Kiran Ravikumar, Vivek Sarkar, Thomas Scogland, Shilei Tian, P.-K. Yeung. pc, 109:102856, 2022. [doi]
A decoupled non-SSA global register allocation using bipartite liveness graphsRajkishore Barik, Jisheng Zhao, Vivek Sarkar. taco, 10(4):63, 2013. [doi]
Minimum Lock Assignment: A Method for Exploiting Concurrency among Critical SectionsYuan Zhang, Vugranam C. Sreedhar, Weirong Zhu, Vivek Sarkar, Guang R. Gao. lcpc 2008: 141-155 [doi]
POSC - a partitioning and optimizing SISAL compilerVivek Sarkar, David C. Cann. ics 1990: 148-164 [doi]
Efficient and precise modeling of exceptions for the analysis of Java programsJong-Deok Choi, David Grove, Michael Hind, Vivek Sarkar. sigsoft, 24(5):21-31, 1999. [doi]
On Estimating and Enhancing Cache EffectivenessJeanne Ferrante, Vivek Sarkar, W. Thrash. lcpc 1992: 328-343
DrHJ: a lightweight pedagogic IDE for Habanero JavaJarred Payne, Vincent Cavé, Raghavan Raman, Mathias Ricken, Robert Cartwright, Vivek Sarkar. PPPJ 2011: 147-150 [doi]
Brief Announcement: Dynamic Determinacy Race Detection for Task Parallelism with FuturesRishi Surendran, Vivek Sarkar. spaa 2016: 95-97 [doi]
JCUDA: A Programmer-Friendly Interface for Accelerating Java Programs with CUDAYongHong Yan, Max Grossman, Vivek Sarkar. europar 2009: 887-899 [doi]
Speculative Execution of Parallel Programs with Precise Exception Semantics on GPUsAkihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar. lcpc 2014: 342-356 [doi]
Dependence Analysis for JavaCraig Chambers, Igor Pechtchanski, Vivek Sarkar, Mauricio J. Serrano, Harini Srinivasan. lcpc 2000: 35-52 [doi]
Linear Promises: Towards Safer Concurrent Programming (Artifact)Ohad Rau, Caleb Voss 0001, Vivek Sarkar. darts, 7(2), 2021. [doi]
Preparing an Online Java Parallel Computing CourseVivek Sarkar, Max Grossman, Zoran Budimlic, Shams Imam. ipps 2017: 360-366 [doi]
Optimization of array accesses by collective loop transformationsVivek Sarkar, Guang R. Gao. ics 1991: 194-205 [doi]
Array optimizations for parallel implementations of high productivity languagesMackale Joyner, Zoran Budimlic, Vivek Sarkar, Rui Zhang. ipps 2008: 1-8 [doi]
2011 International Conference on Parallel Architectures and Compilation Techniques, PACT 2011, Galveston, TX, USA, October 10-14, 2011Lawrence Rauchwerger, Vivek Sarkar, editors, IEEE Computer Society, 2011. [doi]
CnC-Hadoop: a graphical coordination language for distributed multiscale parallelismRiyaz Haque, David M. Peixotto, Vivek Sarkar. cf 2011: 18 [doi]
Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI EnginePrasanth Chatarasi, Stephen Neuendorffer, Samuel Bayliss, Kees A. Vissers, Vivek Sarkar. hpec 2020: 1-10 [doi]
A Unified Runtime for PGAS and Event-Driven ProgrammingSri Raj Paul, Kun Chen, Akihiro Hayashi, Max Grossman, Vivek Sarkar, Jason DeVinney, Bill Carlson. sc 2018: 46-53 [doi]
Array SSA Form and Its Use in ParallelizationKathleen Knobe, Vivek Sarkar. POPL 1998: 107-120 [doi]
Proceedings of the ACM SIGPLAN'94 Conference on Programming Language Design and Implementation (PLDI), Orlando, Florida, USA, June 20-24, 1994Vivek Sarkar, Barbara G. Ryder, Mary Lou Soffa, editors, ACM, 1994. [doi]
Lightweight Object-Oriented Shared Variables for Distributed Applications on the InternetJacob Harris, Vivek Sarkar. OOPSLA 1998: 296-309 [doi]
Dynamic Determinacy Race Detection for Task-Parallel Programs with PromisesFeiyang Jin, Lechen Yu, Tiago Cogumbreiro, Jun Shirako, Vivek Sarkar. ECOOP 2023: [doi]
ARBALEST: Dynamic Detection of Data Mapping Issues in Heterogeneous OpenMP ApplicationsLechen Yu, Joachim Protze, Oscar R. Hernandez, Vivek Sarkar. ipps 2021: 464-474 [doi]
Baring It All to Software: Raw MachinesElliot Waingold, Michael Bedford Taylor, Devabhaktuni Srikrishna, Vivek Sarkar, Walter Lee, Victor Lee, Jang Kim, Matthew Frank, Peter Finch, Rajeev Barua, Jonathan Babb, Saman P. Amarasinghe, Anant Agarwal. Computer, 30(9):86-93, 1997.
Expressing DOACROSS Loop Dependences in OpenMPJun Shirako, Priya Unnikrishnan, Sanjay Chatterjee, Kelvin Li, Vivek Sarkar. iwomp 2013: 30-44 [doi]
Processor Scheduling Algorithms for Constraint-Satisfaction Search ProblemsKarthikeyan S. Natarajan, Vivek Sarkar. icpp 1988: 140-149
A Fine-grained Asynchronous Bulk Synchronous parallelism model for PGAS applicationsSri Raj Paul, Akihiro Hayashi, Kun Chen, Youssef Elmougy, Vivek Sarkar. jocs, 69:102014, May 2023. [doi]
SHCOLL - A Standalone Implementation of OpenSHMEM-Style Collectives APISrdan Milakovic, Zoran Budimlic, Howard Pritchard, Anthony Curtis, Barbara M. Chapman, Vivek Sarkar. openshmem 2019: 90-106 [doi]
HabaneroUPC++: a Compiler-free PGAS LibraryVivek Kumar, Yili Zheng, Vincent Cavé, Zoran Budimlic, Vivek Sarkar. pgas 2014: 5 [doi]
Linear Promises: Towards Safer Concurrent ProgrammingOhad Rau, Caleb Voss 0001, Vivek Sarkar. ECOOP 2021: [doi]
Anticipatory Instruction SchedulingVivek Sarkar, Barbara Simons. spaa 1996: 119-130
S2FA: an accelerator automation framework for heterogeneous computing in datacentersCody Hao Yu, Peng Wei, Max Grossman, Peng Zhang, Vivek Sarkar, Jason Cong. dac 2018: [doi]
Formalization of Habanero phasers using CoqTiago Cogumbreiro, Jun Shirako, Vivek Sarkar. jlp, 90:50-60, 2017. [doi]
OmpMemOpt: Optimized Memory Movement for Heterogeneous ComputingPrithayan Barua, Jisheng Zhao, Vivek Sarkar. europar 2020: 200-216 [doi]
Building confidence in multicore softwareVivek Sarkar. CACM, 53(6):96, 2010. [doi]
Languages and Compilers for Parallel Computing - 32nd International Workshop, LCPC 2019, Atlanta, GA, USA, October 22-24, 2019, Revised Selected PapersSantosh Pande, Vivek Sarkar, editors, Volume 11998 of Lecture Notes in Computer Science, Springer, 2021. [doi]
Habanero-Java: the new adventures of old X10Vincent Cavé, Jisheng Zhao, Jun Shirako, Vivek Sarkar. PPPJ 2011: 51-61 [doi]
Bounded memory scheduling of dynamic task graphsDragos Sbirlea, Zoran Budimlic, Vivek Sarkar. IEEEpact 2014: 343-356 [doi]
Practical Permissions for Race-Free ParallelismEdwin M. Westbrook, Jisheng Zhao, Zoran Budimlic, Vivek Sarkar. ECOOP 2012: 614-639 [doi]
Extending Polyhedral Model for Analysis and Transformation of OpenMP ProgramsPrasanth Chatarasi, Vivek Sarkar. IEEEpact 2015: 490-491 [doi]
Hierarchical phasers for scalable synchronization and reductions in dynamic parallelismJun Shirako, Vivek Sarkar. ipps 2010: 1-12 [doi]
DrHJ: the cure to your multicore programming woesVincent Cavé, Jarred Payne, Raghavan Raman, Mathias Ricken, Corky Cartwright, Vivek Sarkar. OOPSLA 2011: 5-6 [doi]
Languages and Compilers for Parallel Computing - 23rd International Workshop, LCPC 2010, Houston, TX, USA, October 7-9, 2010. Revised Selected PapersKeith D. Cooper, John M. Mellor-Crummey, Vivek Sarkar, editors, Volume 6548 of Lecture Notes in Computer Science, Springer, 2011. [doi]
Optimized two-level parallelization for GPU accelerators using the polyhedral modelJun Shirako, Akihiro Hayashi, Vivek Sarkar. CC 2017: 22-33 [doi]
Declarative Tuning for Locality in Parallel ProgramsSanjay Chatterjee, Nick Vrvilo, Zoran Budimlic, Kathleen Knobe, Vivek Sarkar. icpp 2016: 452-457 [doi]
A Transformation Framework for Optimizing Task-Parallel ProgramsV. Krishna Nandivada, Jun Shirako, Jisheng Zhao, Vivek Sarkar. TOPLAS, 35(1):3, 2013. [doi]
Tree-based Read-only Data Chunks for NVRAM ProgrammingKumud Bhandari, Vivek Sarkar. IEEEpact 2016: [doi]
Folding of Tagged Single Assignment Values for Memory-Efficient ParallelismDragos Sbirlea, Kathleen Knobe, Vivek Sarkar. europar 2012: 601-613 [doi]
Dynamic Task Parallelism with a GPU Work-Stealing Runtime SystemSanjay Chatterjee, Max Grossman, Alina Simion Sbîrlea, Vivek Sarkar. lcpc 2013: 203-217 [doi]
Mapping Iterative Task Graphs on Distributed Memory MachinesTao Yang, Cong Fu, Apostolos Gerasoulis, Vivek Sarkar. icpp 1995: 151-158
Analysis and Optimization of Explicitly Parallel Programs Using the Parallel Program Graph RepresentationVivek Sarkar. lcpc 1998: 94-113
A Study of a Software Cache Implementation of the OpenMP Memory Model for Multicore and Manycore ArchitecturesChen Chen, Joseph B. Manzano, Ge Gan, Guang R. Gao, Vivek Sarkar. europar 2010: 341-352 [doi]
Exploiting Implicit Parallelism in Dynamic Array Programming LanguagesShams Mahmood Imam, Vivek Sarkar, David Leibs, Peter B. Kessler. PLDI 2014: 1 [doi]
Subregion Analysis and Bounds Check Elimination for High Level ArraysMackale Joyner, Zoran Budimlic, Vivek Sarkar. CC 2011: 246-265 [doi]
Optimized code restructuring of OS/2 executablesJyh-Herng Chow, Yong-Fong Lee, Kalyan Muthukumar, Vivek Sarkar, Mauricio J. Serrano, Iris Garcia, John Hsu, Shauchi Ong, Honesty C. Young. cascon 1995: 12 [doi]
Oil and Water Can Mix: An Integration of Polyhedral and AST-Based TransformationsJun Shirako, Louis-Noël Pouchet, Vivek Sarkar. sc 2014: 287-298 [doi]
Concurrent CollectionsZoran Budimlic, Michael Burke, Vincent Cavé, Kathleen Knobe, Geoff Lowney, Ryan Newton, Jens Palsberg, David M. Peixotto, Vivek Sarkar, Frank Schlimbach, Sagnak Tasirlar. sp, 18(3-4):203-217, 2010. [doi]
Synchronization using counting semaphoresVivek Sarkar. ics 1988: 627-637 [doi]
Detecting MPI usage anomalies via partial program symbolic executionFangke Ye, Jisheng Zhao, Vivek Sarkar. sc 2018: [doi]
Interprocedural strength reduction of critical sections in explicitly-parallel programsRajkishore Barik, Jisheng Zhao, Vivek Sarkar. IEEEpact 2013: 29-40 [doi]
Extended Linear Scan: An Alternate Foundation for Global Register AllocationVivek Sarkar, Rajkishore Barik. CC 2007: 141-155 [doi]
Register-sensitive selection, duplication, and sequencing of instructionsVivek Sarkar, Mauricio J. Serrano, Barbara B. Simons. ics 2001: 277-288 [doi]
Delegated isolationRoberto Lublinerman, Jisheng Zhao, Zoran Budimlic, Swarat Chaudhuri, Vivek Sarkar. OOPSLA 2011: 885-902 [doi]
Array SSA FormVivek Sarkar, Kathleen Knobe, Stephen Fink. In Fabrice Rastello, Florent Bouchez-Tichadou, editors, SSA-based Compiler Design. pages 227-240, Springer, 2022. [doi]
Task-graph scheduling extensions for efficient synchronization and communicationSeonmyeong Bak, Oscar R. Hernandez, Mark Gates, Piotr Luszczek, Vivek Sarkar. ics 2021: 88-101 [doi]
Interprocedural Load Elimination for Dynamic Optimization of Parallel ProgramsRajkishore Barik, Vivek Sarkar. IEEEpact 2009: 41-52 [doi]
Automatic vector instruction selection for dynamic compilationRajkishore Barik, Jisheng Zhao, Vivek Sarkar. IEEEpact 2010: 573-574 [doi]
Incremental Computation of Static Single Assignment FormJong-Deok Choi, Vivek Sarkar, Edith Schonberg. cc 1996: 223-237
Isolation for nested task parallelismJisheng Zhao, Roberto Lublinerman, Zoran Budimlic, Swarat Chaudhuri, Vivek Sarkar. OOPSLA 2013: 571-588 [doi]
Optimizing Array Accesses in High Productivity LanguagesMackale Joyner, Zoran Budimlic, Vivek Sarkar. hpcc 2007: 432-445 [doi]
The Eureka Programming Model for Speculative Task Parallelism (Artifact)Shams Imam, Vivek Sarkar. darts, 1(1), 2015. [doi]
Data-Driven Tasks and Their ImplementationSagnak Tasirlar, Vivek Sarkar. icpp 2011: 652-661 [doi]
A Distributed Selectors Runtime System for Java ApplicationsArghya Chatterjee, Branko Gvoka, Bing Xue, Zoran Budimlic, Shams Imam, Vivek Sarkar. PPPJ 2016: 3 [doi]
Compile-time partitioning and scheduling of parallel programsVivek Sarkar, John L. Hennessy. sigplan 1986: 17-26 [doi]
Loop Transformations for Hierarchical Parallelism and LocalityVivek Sarkar. lcr 1998: 57-74 [doi]
Optimized Execution of Fortran 90 Array Language on Symmetric Shared-Memory MultiprocessorsVivek Sarkar. lcpc 1999: 131-147 [doi]
JPF Verification of Habanero Java Programs using Gradual Type Permission RegionsPeter Anderson, Nick Vrvilo, Eric Mercer, Vivek Sarkar. sigsoft, 40(1):1-5, 2015. [doi]
Cost-driven thread coarsening for GPU kernelsPrithayan Barua, Jun Shirako, Vivek Sarkar. IEEEpact 2018: [doi]
Work-first and help-first scheduling policies for async-finish task parallelismYi Guo, Rajkishore Barik, Raghavan Raman, Vivek Sarkar. ipps 2009: 1-12 [doi]
Permission Regions for Race-Free ParallelismEdwin M. Westbrook, Jisheng Zhao, Zoran Budimlic, Vivek Sarkar. RV 2012: 94-109 [doi]
Partitioning Parallel Programs for Macro-DataflowVivek Sarkar, John L. Hennessy. lfp 1986: 202-211
Optimal Weighted Loop Fusion for Parallel ProgramsNimrod Megiddo, Vivek Sarkar. spaa 1997: 282-291 [doi]
CnC-CUDA: Declarative Programming for GPUsMax Grossman, Alina Simion Sbîrlea, Zoran Budimlic, Vivek Sarkar. lcpc 2011: 230-245 [doi]
Chapel-on-X: Exploring Tasking Runtimes for PGAS LanguagesAkihiro Hayashi, Sri Raj Paul, Max Grossman, Jun Shirako, Vivek Sarkar. sc 2017: [doi]
Selectors: Actors with Multiple Guarded MailboxesShams Mahmood Imam, Vivek Sarkar. agere 2014: 1-14 [doi]
Highly Scalable Large-Scale Asynchronous Graph Processing using ActorsYoussef Elmougy, Akihiro Hayashi, Vivek Sarkar. ccgrid 2023: 242-248 [doi]
Porting DMRG++ Scientific Application to OpenPOWERArghya Chatterjee, Gonzalo Alvarez, Eduardo F. D'Azevedo, Wael R. Elwasif, Oscar Hernandez, Vivek Sarkar. supercomputer 2018: 418-431 [doi]
The design and implementation of the habanero-java parallel programming languageZoran Budimlic, Vincent Cavé, Raghavan Raman, Jun Shirako, Sagnak Tasirlar, Jisheng Zhao, Vivek Sarkar. OOPSLA 2011: 185-186 [doi]
Automatic Verification of Determinism for Structured Parallel ProgramsMartin T. Vechev, Eran Yahav, Raghavan Raman, Vivek Sarkar. SAS 2010: 455-471 [doi]
DAMMP: A Distributed Actor Model for Mobile PlatformsArghya Chatterjee, Srdan Milakovic, Bing Xue, Zoran Budimlic, Vivek Sarkar. PPPJ 2017: 48-59 [doi]
Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2018, Williamsburg, VA, USA, March 24-28, 2018Xipeng Shen, James Tuck, Ricardo Bianchini, Vivek Sarkar, editors, ACM, 2018. [doi]
Automatic detection of inter-application permission leaks in Android applicationsDragos Sbirlea, Michael G. Burke, Salvatore Guarnieri, Marco Pistoia, Vivek Sarkar. ibmrd, 57(6), 2013. [doi]
Declarative aspects of memory management in the concurrent collections parallel programming modelZoran Budimlic, Aparna Chandramowlishwaran, Kathleen Knobe, Geoff N. Lowney, Vivek Sarkar, Leo Treggiari. POPL 2009: 47-58 [doi]
ADHA: automatic data layout framework for heterogeneous architecturesDeepak Majeti, Kuldeep S. Meel, Rajkishore Barik, Vivek Sarkar. IEEEpact 2014: 479-480 [doi]
Finish Accumulators: An Efficient Reduction Construct for Dynamic Task ParallelismJun Shirako, Vincent Cavé, Jisheng Zhao, Vivek Sarkar. lcpc 2013: 264-265 [doi]
Automatic parallelization of pure method calls via conditional future synthesisRishi Surendran, Vivek Sarkar. OOPSLA 2016: 20-38 [doi]
Graph500 on OpenSHMEM: Using A Practical Survey of Past Work to Motivate Novel Algorithmic DevelopmentsMax Grossman, Howard Pritchard, Zoran Budimlic, Vivek Sarkar. sc 2017: [doi]
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Austin, TX, USA, February 4-8, 2017Vivek Sarkar, Lawrence Rauchwerger, editors, ACM, 2017. [doi]
A Pluggable Framework for Composable HPC Scheduling LibrariesMax Grossman, Vivek Kumar 0001, Nick Vrvilo, Zoran Budimlic, Vivek Sarkar. ipps 2017: 723-732 [doi]
A Practical Approach to DOACROSS ParallelizationPriya Unnikrishnan, Jun Shirako, Kit Barton, Sanjay Chatterjee, Raúl Silvera, Vivek Sarkar. europar 2012: 219-231 [doi]
Lightweight Object-Oriented Shared Variables for Cluster Computing in JavaJacob Harris, Vivek Sarkar. jpdc, 60(10):1238-1259, 2000. [doi]
Enabling Sparse Constant Propagation of Array Elements via Array SSA FormVivek Sarkar, Kathleen Knobe. SAS 1998: 33-56 [doi]
Performance evaluation of OpenMP's target construct on GPUs - exploring compiler optimisationsAkihiro Hayashi, Jun Shirako, Ettore Tiotto, Robert Ho, Vivek Sarkar. ijhpcn, 13(1):54-69, 2019. [doi]
Using Dynamic Compilation to Achieve Ninja Performance for CNN Training on Many-Core ProcessorsAnkush Mandal, Rajkishore Barik, Vivek Sarkar. europar 2018: 265-278 [doi]
The Jalapeño Dynamic Optimizing Compiler for JavaMichael G. Burke, Jong-Deok Choi, Stephen J. Fink, David Grove, Michael Hind, Vivek Sarkar, Mauricio J. Serrano, Vugranam C. Sreedhar, Harini Srinivasan, John Whaley. java 1999: 129-141 [doi]
Optimized lock assignment and allocation: a method for exploiting concurrency among critical sectionsYuan Zhang, Vugranam C. Sreedhar, Weirong Zhu, Vivek Sarkar, Guang R. Gao. ppopp 2007: 146-147 [doi]
T2S-Tensor: Productively Generating High-Performance Spatial Hardware for Dense Tensor ComputationsNitish Kumar Srivastava, Hongbo Rong, Prithayan Barua, Guanyu Feng, Huanqi Cao, Zhiru Zhang, David H. Albonesi, Vivek Sarkar, Wenguang Chen, Paul Petersen, Geoff Lowney, Adam Herr, Christopher J. Hughes, Timothy G. Mattson, Pradeep Dubey. fccm 2019: 181-189 [doi]
Data Flow Execution Models - A Third OpinionVivek Sarkar. hipc 2019: 1 [doi]
Compiler-Driven Data Layout Transformation for Heterogeneous PlatformsDeepak Majeti, Rajkishore Barik, Jisheng Zhao, Max Grossman, Vivek Sarkar. europar 2014: 188-197 [doi]
Programmability IssuesBarbara M. Chapman, JesÃºs Labarta, Vivek Sarkar, Mitsuhisa Sato. ijhpca, 23(4):328-331, 2009. [doi]
Deadlock avoidance in parallel programs with futures: why parallel tasks should not wait for strangersTiago Cogumbreiro, Rishi Surendran, Francisco Martins, Vivek Sarkar, Vasco T. Vasconcelos, Max Grossman. PACMPL, 1(OOPSLA), 2017. [doi]
Cooperative Scheduling of Parallel Tasks with General Synchronization PatternsShams Mahmood Imam, Vivek Sarkar. ECOOP 2014: 618-643 [doi]
Code optimization of parallel programs: evolutionary vs. revolutionary approachesVivek Sarkar. CGO 2008: 1 [doi]
A marshalled data format for pointers in relocatable data blocksNick Vrvilo, Lechen Yu, Vivek Sarkar. iwmm 2017: 25-35 [doi]
Customizable Domain-Specific ComputingJason Cong, Glenn Reinman, A. Bui, V. Sarkar. dt, 28(2):6-15, 2011. [doi]

All Publications

Filter by Year

Filter by Type

Filter by Topic

Filter by Venue

Filter by Co-author

Filter by Top terms

Download

External Links

Profile Name

Statistics

Aliases

Researchr

Vivek Sarkar's Profile

Unidentified Publications