Table of Contents

• Minesweeper: A Novel and Fast Ordered-Statistic CFAR AlgorithmCarl L. Colena, Michael J. Russell, Stephen A. Braun. 1-6 [doi]
• Total Ionizing Dose Radiation Testing of NVIDIA Jetson Nano GPUsWindy S. Slater, Nayana P. Tiwari, Tyler M. Lovelly, Jesse K. Mee. 1-3 [doi]
• Homomorphic Encryption Based Secure Sensor Data ProcessingVijay Gadepally, Mihailo Isakov, Rashmi S. Agrawal, Jeremy Kepner, Karen Gettings, Michel A. Kinsy. 1-7 [doi]
• Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition SoftwareJeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman. 1-7 [doi]
• Using RAPIDS AI to Accelerate Graph Data Science WorkflowsTodd Hricik, David A. Bader, Oded Green. 1-4 [doi]
• Target Classification in Synthetic Aperture Radar and Optical Imagery Using Loihi Neuromorphic HardwareMark Barnell, Courtney Raymond, Matthew Wilson, Darrek Isereau, Chris Cicotta. 1-6 [doi]
• Active Learning Pipeline for Brain Mapping in a High Performance Computing EnvironmentAdam Michaleas, Lars Gjesteby, Michael P. Snyder, David Chavez, Meagan Ash, Matthew A. Melton, Damon G. Lamb, Sara N. Burke, Kevin J. Otto, Lee Kamentsky, Webster Guan, Kwanghun Chung, Laura J. Brattain. 1-6 [doi]
• Optimizing Use of Different Types of Memory for FPGAs in High Performance ComputingKai Huang, Mehmet Güngör, Stratis Ioannidis, Miriam Leeser. 1-7 [doi]
• Fast Mapping onto Census BlocksJeremy Kepner, Andreas Kipf, Darren Engwirda, Navin Vembar, Michael Jones 0001, Lauren Milechin, Vijay Gadepally, Chris Hill, Tim Kraska, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Andrew C. Kirby, Anna Klein, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas. 1-8 [doi]
• Enhanced Parallel Simulation for ACAS X DevelopmentAdam Gjersvik. 1-7 [doi]
• Architectural Analysis of Deep Learning on Edge AcceleratorsLuke Kljucaric, Alex Johnson, Alan D. George. 1-7 [doi]
• Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML TechniquesCong Wang 0014, George Papadimitriou, Mariam Kiran, Anirban Mandal, Ewa Deelman. 1-7 [doi]
• Train and Deploy an Image Classifier for Disaster ResponseJianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren. 1-5 [doi]
• Distributed Non-Negative Tensor Train DecompositionManish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo Djidjev, Boian S. Alexandrov. 1-10 [doi]
• Work-Efficient Parallel Algorithms for Accurate Floating-Point Prefix SumsSean Fraser, Helen Xu, Charles E. Leiserson. 1-7 [doi]
• Implementing Sparse Linear Algebra Kernels on the Lucata Pathfinder-A ComputerGéraud Krawezik, Shannon K. Kuntz, Peter M. Kogge. 1-6 [doi]
• Large-scale Sparse Tensor Decomposition Using a Damped Gauss-Newton MethodTeresa M. Ranadive, Muthu M. Baskaran. 1-8 [doi]
• Inference Benchmarking on HPC SystemsWesley Brewer, Greg Behm, Alan L. Scheinine, Ben Parsons, Wesley Emeneker, Robert P. Trevino. 1-9 [doi]
• MetaCL: Automated "Meta" OpenCL Code Generation for High-Level Synthesis on FPGAPaul Sathre, Atharva Gondhalekar, Mohamed W. Hassan, Wu-chun Feng. 1-8 [doi]
• Discrete Integrated Circuit Electronics (DICE)Zach Fredin, Jiri Zemanek, Camron Blackburn, Erik Strand, Amira Abdel-Rahman, Premila Rowles, Neil Gershenfeld. 1-8 [doi]
• Design and Performance Evaluation of Optimizations for OpenCL FPGA KernelsAnthony M. Cabrera, Roger D. Chamberlain. 1-7 [doi]
• Projecting Performance for PIUMA using Down-Scaled SimulationStijn Eyerman, Wim Heirman, Yigit Demir, Kristof Du Bois, Ibrahim Hur. 1-7 [doi]
• KTRussExPLORER: Exploring the Design Space of K-truss Decomposition Optimizations on GPUsSafaa Diab, Mhd Ghaith Olabi, Izzat El Hajj. 1-8 [doi]
• CQNN: a CGRA-based QNN FrameworkTong Geng, Chunshu Wu, Cheng Tan, Bo Fang, Ang Li, Martin C. Herbordt. 1-7 [doi]
• Automatic Mapping and Optimization to Kokkos with Polyhedral CompilationMuthu Baskaran, Charles Jin, Benoît Meister, Jonathan Springer. 1-7 [doi]
• Benchmarking network fabrics for data distributed training of deep neural networksSiddharth Samsi, Andrew Prout, Michael Jones 0001, Andrew C. Kirby, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, Jeremy Kepner. 1-6 [doi]
• Beyond Floating-Point Ops: CNN Performance Prediction with Critical Datapath LengthDavid Langerman, Alex Johnson, Kyle Buettner, Alan D. George. 1-9 [doi]
• Studying the Effects of Hashing of Sparse Deep Neural Networks on Data and Model ParallelismsMohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud. 1-7 [doi]
• Self-Scaling Clusters and Reproducible Containers to Enable Scientific ComputingPeter Z. Vaillancourt, J. Eric Coulter, Richard Knepper, Brandon Barker. 1-8 [doi]
• Approximate Inverse Chain Preconditioner: Iteration Count Case Study for Spectral Support SolversHarper Langston, Pierre-David Letourneau, Julia Wei, Larry Weintraub, Mitchell Tong Harris, Richard Lethin, Eric Papenhausen, Meifeng Lin. 1-8 [doi]
• A Hardware Root-of-Trust Design for Low-Power SoC Edge DevicesAlan Ehret, Eliakin Del Rosario, Karen Gettings, Michel A. Kinsy. 1-6 [doi]
• An Efficient LP Rounding Scheme for Replica PlacementZhihui Du, Sen Zhang, David A. Bader, Jingkun Hu. 1-7 [doi]
• Scalability of Streaming on Migrating ThreadsBrian A. Page, Peter M. Kogge. 1-8 [doi]
• GBTLX: A First LookSanil Rao, Anurag Kutuluru, Paul Brouwer, Scott McMillan, Franz Franchetti. 1-7 [doi]
• GPU-Accelerated Discontinuous Galerkin Methods: 30x Speedup on 345 Billion UnknownsAndrew C. Kirby, Dimitri J. Mavriplis. 1-7 [doi]
• Processing of Crowdsourced Observations of Aircraft in a High Performance Computing EnvironmentAndrew J. Weinert, Ngaire Underhill, Bilal Gill, Ashley Wicks. 1-6 [doi]
• A Communication-Efficient Multi-Chip Design for Range-Limited Molecular DynamicsChunshu Wu, Tong Geng, Chen Yang 0010, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt. 1-8 [doi]
• Accelerating Distributed Inference of Sparse Deep Neural Networks via Mitigating the Straggler EffectMohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud. 1-7 [doi]
• Fast GPU Graph Contraction by Combining Efficient Shallow Searches and Post-CullingRoozbeh Karimi, David M. Koppelman, Chris J. Michael. 1-7 [doi]
• Analysis of floating-point round-off error in linear algebra routines for graph clusteringL. Minah Yang, Alyson Fox. 1-7 [doi]
• Hardware Acceleration of Nonlocal Means-Based Speckle Noise Removal Applied to SAR ImageryHector A. Li Sanchez, Alan D. George. 1-7 [doi]
• Half-Precision Floating-Point Formats for PageRank: Opportunities and ChallengesAmir Sabbagh Molahosseini, Hans Vandierendonck. 1-7 [doi]
• A Comprehensive Comparison and Analysis of OpenACC and OpenMP 4.5 for NVIDIA GPUsR. Usha, Prachi Pandey, N. Mangala. 1-6 [doi]
• Hash Table Scalability on Intel PIUMABalasubramanian Seshasayee, Joshua B. Fryman, Ibrahim Hur. 1-2 [doi]
• Profiling and Optimization of CT Reconstruction on Nvidia Quadro GV100Shekhar Dwivedi, Andreas Heumann. 1-7 [doi]
• Combinatorial Tiling for Sparse Neural NetworksFilip Pawlowski, Rob H. Bisseling, Bora Uçar, A. N. Yzelman. 1-7 [doi]
• Triangle Counting with Cyclic DistributionsAndrew Lumsdaine, Luke Dalessandro, Kevin Deweese, Jesun Firoz, Scott McMillan. 1-8 [doi]
• iBench: a Distributed Inference Simulation and Benchmark SuiteWesley Brewer, Greg Behm, Alan L. Scheinine, Ben Parsons, Wesley Emeneker, Robert P. Trevino. 1-6 [doi]
• A Hybrid-Pipelined Architecture for FPGA-based Binary Weight DenseNet with High Performance-EfficiencyShihao Zeng, Yihua Huang. 1-5 [doi]
• Accuracy and Performance Comparison of Video Action Recognition ApproachesMatthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Micheal Houle, Matthew Hubbell, Micheal Jones, Jeremy Kepner, Andrew C. Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally. 1-8 [doi]
• A congestion control mechanism for SDN-based fat-tree networksHaitham Ghalwash, Chun-Hsi Huang. 1-7 [doi]
• Homomorphic Encryption for Quantum Annealing with Spin Reversal TransformationsDaniel O'Malley, John K. Golden. 1-6 [doi]
• SparTen: Leveraging Kokkos for On-node Parallelism in a Second-Order Method for Fitting Canonical Polyadic Tensor Models to Poisson DataKeita Teranishi, Daniel M. Dunlavy, Jeremy M. Myers, Richard F. Barrett. 1-7 [doi]
• Bit-Error Aware Quantization for DCT-based Lossy CompressionJialing Zhang, Jiaxi Chen, Aekyeung Moon, Xiaoyan Zhuo, Seung Woo Son 0001. 1-7 [doi]
• Hybrid Approach to HPC Cluster Telemetry and Hardware Log AnalyticsJustin Thaler, Woong Shin, Steven Roberts, James H. Rogers, Todd Rosedahl. 1-7 [doi]
• Dynamic Computational Diversity with Multi-Radix Logic and MemoryPaul G. Flikkema, James Palmer, Tolga Yalçin, Bertrand Cambou. 1-6 [doi]
• Denial of Service in CPU-GPU Heterogeneous ArchitecturesHao Wen, Wei Zhang 0002. 1-5 [doi]
• A High Throughput Parallel Hash Table on FPGA using XOR-based MemoryRuizhi Zhang 0002, Sasindu Wijeratne, Yang Yang, Sanmukh R. Kuppannagari, Viktor K. Prasanna. 1-7 [doi]
• Stability-Optimized High Order Methods and Stiffness Detection for Pathwise Stiff Stochastic Differential EquationsChristopher Rackauckas, Qing Nie. 1-8 [doi]
• Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision TrainingSiddharth Samsi, Michael Jones 0001, Mark M. Veillette. 1-6 [doi]
• A Deep Q-Learning Approach for GPU Task SchedulingRyan S. Luley, Qinru Qiu. 1-7 [doi]
• Towards an Objective Metric for the Performance of Exact Triangle CountMark P. Blanco, Scott McMillan, Tze Meng Low. 1-7 [doi]
• Fast Training of Deep Neural Networks Robust to Adversarial PerturbationsJustin A. Goodwin, Olivia M. Brown, Victoria Helus. 1-7 [doi]
• Multiscale Data Analysis Using Binning, Tensor Decompositions, and BacktrackingDimitri Leggas, Thomas Henretty, James R. Ezick, Muthu Baskaran, Brendan von Hofe, Grace Cimaszewski, Harper Langston, Richard Lethin. 1-7 [doi]
• Optimising AI Training Deployments using Graph Compilers and ContainersNina Mujkanovic, Karthee Sivalingam, Alfio Lazzaro. 1-8 [doi]
• Fast Graphlet Transform of Sparse GraphsDimitris Floros, Nikos Pitsianis, Xiaobai Sun. 1-8 [doi]
• Best of Both Worlds: High Performance Interactive and Batch LaunchingChansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones 0001, Andrew C. Kirby, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther. 1-7 [doi]
• GraphSDH: A General Graph Sampling Framework with Distribution and HierarchyJingbo Hu, Guohao Dai, Yu Wang 0002, Huazhong Yang. 1-7 [doi]
• A Novel Inference Algorithm for Large Sparse Neural Network using Task Graph ParallelismDian-Lun Lin, Tsung-Wei Huang. 1-7 [doi]
• Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUsCade Brown, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra. 1-7 [doi]
• Multi-Temporal Analysis and Scaling Relations of 100, 000, 000, 000 Network PacketsJeremy Kepner, Chad R. Meiners, Chansup Byun, Sarah McGuire, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Raul Harnasch, Matthew Hubbell, Micheal Houle, Micheal Jones, Andrew C. Kirby, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas. 1-6 [doi]
• A Framework for Task Mapping onto Heterogeneous PlatformsTa-Yang Wang, Ajitesh Srivastava, Viktor K. Prasanna. 1-6 [doi]
• GPU Accelerated Anomaly Detection of Large Scale Light CurvesAustin Chase Minor, Zhihui Du, Yankui Sun, David A. Bader, Chao Wu, Jianyan Wei. 1-7 [doi]
• Northeast Cyberteam - Building an Environment for Sharing Best Practices and Solutions for Research ComputingJohn Goodhue, Julie Ma, Adrian Del Masetro, Sia Najafi, Bruce Segee, Scott Valcourt, Ralph Zottola. 1-5 [doi]
• A Scalable Architecture for CNN Accelerators Leveraging High-Performance MemoriesMaarten Hattink, Giuseppe Di Guglielmo, Luca P. Carloni, Keren Bergman. 1-6 [doi]
• Exploiting GPU Direct Access to Non-Volatile Memory to Accelerate Big Data ProcessingMahsa Bayati, Miriam Leeser, Ningfang Mi. 1-6 [doi]
• Scaling Graph Clustering with Distributed SketchesBenjamin W. Priest, Alec Dunton, Geoffrey Sanders. 1-7 [doi]
• Human balance models optimized using a large-scale, parallel architecture with applications to mild traumatic brain injuryGregory Ciccarelli, Michael Nolan, Hrishikesh M. Rao, Tanya Talkar, Anne O'Brien, Gloria Vergara-Diaz, Ross Zafonte, Thomas F. Quatieri, Ryan J. McKindles, Paolo Bonato, Adam C. Lammert. 1-8 [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. 1-10 [doi]
• Execution of Complete Molecular Dynamics Simulations on Multiple FPGAsCarlo Pascoe, Lawrence C. Stewart, Brian W. Sherman, Vipin Sachdeva, Martin C. Herbordt. 1-2 [doi]
• A Fault Tolerant Implementation for a Massively Parallel Seismic FrameworkSuha N. Kayum, Hussain Alsalim, Thierry-Laurent Tonellot, Ali Momin. 1-8 [doi]
• At-Scale Sparse Deep Neural Network Inference With Efficient GPU ImplementationMert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-mei Hwu. 1-7 [doi]
• OpenCL Performance on the Intel Heterogeneous Architecture Research PlatformSteven Harris, Roger D. Chamberlain, Christopher D. Gill. 1-9 [doi]
• LessMine: Reducing Sample Space and Data Access for Dense Pattern MiningTianyu Fu, Ziqian Wan, Guohao Dai, Yu Wang 0002, Huazhong Yang. 1-7 [doi]
• Accelerating MRI Reconstruction on TPUsTianjian Lu, Thibault Marin, Yue Zhuo, Yi-Fan Chen, Chao Ma. 1-9 [doi]
• Accelerator Design and Performance Modeling for Homomorphic Encrypted CNN InferenceTian Ye, Rajgopal Kannan, Viktor K. Prasanna. 1-7 [doi]
• A Dynamically Configurable Network for Software-Defined HardwareWilliam Butera. 1-7 [doi]
• Constrained-optimization Approach Delivers Superior Classical Performance for Graph Partitioning via Quantum-ready MethodUchenna Chukwu, Raouf Dridi, Jesse Berwald, Michael Booth, John Dawson, DeYung Le, Mark Wainger, Steven P. Reinhardt. 1-6 [doi]
• A GraphBLAS solution to the SIGMOD 2014 Programming Contest using multi-source BFSMárton Elekes 0001, Attila Nagy, Dávid Sándor, János Benjamin Antal, Timothy A. Davis 0001, Gábor Szárnyas. 1-7 [doi]
• Evaluating Cryptographic Performance of Raspberry Pi ClustersDaniel Hawthorne, Michael P. Kapralos, Raymond W. Blaine, Suzanne J. Matthews. 1-9 [doi]
• Computing PageRank Scores of Web Crawl Data Using DGX A100 ClustersSeunghwa Kang, Alexandre Fender, Joe Eaton, Brad Rees. 1-4 [doi]
• On the Feasibility of Using Reduced-Precision Tensor Core Operations for Graph AnalyticsJesun Sahariar Firoz, Ang Li, Jiajia Li, Kevin J. Barker. 1-7 [doi]
• Packing Narrow-Width Operands to Improve Energy Efficiency of General-Purpose GPU ComputingXin Wang, Wei Zhang. 1-7 [doi]
• Variable Precision Multiplication for Software-Based Neural NetworksRicha Singh, Thomas Conroy, Patrick Schaumont. 1-7 [doi]
• Arithmetic and Boolean Secret Sharing MPC on FPGAs in the Data CenterRushi Patel, Pierre-Francois Wolfe, Robert Munafo, Mayank Varia, Martin C. Herbordt. 1-8 [doi]
• Scalable Data Generation for Evaluating Mixed-Precision SolversPiotr Luszczek, Yaohung M. Tsai, Neil Lindquist, Hartwig Anzt, Jack J. Dongarra. 1-6 [doi]
• Survey of Machine Learning AcceleratorsAlbert Reuther, Peter Michaleas, Michael Jones 0001, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner. 1-12 [doi]
• High-Throughput Image Alignment for Connectomics using Frugal Snap JudgmentsTim Kaler, Brian Wheatman, Sarah Wooders. 1-9 [doi]
• Efficient Sparse Matrix-Vector Multiplication on Intel PIUMA ArchitectureSriram Aananthakrishnan, Robert Pawlowski, Joshua B. Fryman, Ibrahim Hur. 1-2 [doi]
• GraphChallenge.org Sparse Deep Neural Network PerformanceJeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones 0001, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi. 1-7 [doi]
• GraphChallenge.org Triangle Counting PerformanceSiddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael B. Hurley, Michael Jones 0001, Edward K. Kao, Sanjeev Mohindra, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Paul Monticciolo. 1-9 [doi]
• FPGAs in the Network and Novel Communicator Support Accelerate MPI CollectivesPouya Haghi, Anqi Guo, Qingqing Xiong, Rushi Patel, Chen Yang 0010, Tong Geng, Justin T. Broaddus, Ryan Marshall, Anthony Skjellum, Martin C. Herbordt. 1-10 [doi]
• Energy-Efficient Analysis of Synchrophasor Data using the NVIDIA Jetson NanoSuzanne J. Matthews, Aaron St. Leger. 1-7 [doi]
• Performance Strategies for Parallel Bitonic Sort on a Migratory Thread ArchitectureKaushik Velusamy, Thomas B. Rolinger, Janice McMahon. 1-7 [doi]
• Leveraging Linear Algebra to Count and Enumerate Simple SubgraphsVitaliy Gleyzer, Andrew J. Soszynski, Edward K. Kao. 1-8 [doi]
• Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear MultigridAndrew C. Kirby, Siddharth Samsi, Michael Jones 0001, Albert Reuther, Jeremy Kepner, Vijay Gadepally. 1-7 [doi]
• Evaluating SEU Resilience of CNNs with Fault InjectionEvan T. Kain, Tyler M. Lovelly, Alan D. George. 1-5 [doi]
• TriC: Distributed-memory Triangle Counting by Exploiting the Graph StructureSayan Ghosh, Mahantesh Halappanavar. 1-6 [doi]
• Using Graphlet Spectrograms for Temporal Pattern Analysis of Virus-Research Collaboration NetworksDimitris Floros, Tiancheng Liu, Nikos Pitsianis, Xiaobai Sun. 1-7 [doi]
• Towards a Distributed Framework for Multi-Agent Reinforcement Learning ResearchYutai Zhou, Shawn Manuel, Peter Morales, Sheng Li, Jaime Pena, Ross E. Allen. 1-9 [doi]
• Machine Learning Algorithm Performance on the Lucata ComputerPaul L. Springer, Thomas Schibler, Géraud Krawezik, Jack Lightholder, Peter M. Kogge. 1-7 [doi]
• Post Quantum Cryptography(PQC) - An overview: (Invited Paper)Manoj Kumar 0006, Pratap Pattnaik. 1-9 [doi]
• How to Efficiently Train Your AI Agent? Characterizing and Evaluating Deep Reinforcement Learning on Heterogeneous PlatformsYuan Meng, Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna. 1-7 [doi]
• Chip-to-chip Optical Data Communications using Polarization Division MultiplexingDarko Ivanovich, Chenfeng Zhao, Xuan Zhang, Roger D. Chamberlain, Amit Deliwala, Viktor Gruev. 1-8 [doi]
• A Feasibility Study for MPI over HDFSW. Feng, D. Zhang, J. Zhang, K. Hou, S. Pumma, H. Wang. 1-7 [doi]
• Bandwidth Allocation in Silicon-Photonic Networks Using Application InstrumentationAditya Narayan, Ajay Joshi, Ayse K. Coskun. 1-2 [doi]
• Incremental Streaming Graph PartitioningLisa J. K. Durbeck, Peter Athanas. 1-8 [doi]