Abstract is missing.
- μ Suite: A Benchmark Suite for MicroservicesAkshitha Sriraman, Thomas F. Wenisch. 1-12 [doi]
- AutomataZoo: A Modern Automata Processing Benchmark SuiteJack Wadden, Tommy Tracy II, Elaheh Sadredini, Lingxi Wu, Chunkun Bo, Jesse Du, Yizhou Wei, Jeffrey Udall, Matthew Wallace, Mircea Stan, Kevin Skadron. 13-24 [doi]
- VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUsNadjib Mammeri, Ben H. H. Juurlink. 25-35 [doi]
- Quantitative Overhead Analysis for PythonMohamed Ismail, G. Edward Suh. 36-47 [doi]
- Data Motif-based Proxy Benchmarks for Big Data and AI WorkloadsWanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Zhen Jia, Daoyi Zheng, Chen Zheng, Xiwen He, Hainan Ye, Haibin Wang, Rui Ren. 48-58 [doi]
- A NUMA-Aware Provably-Efficient Task-Parallel Platform Based on the Work-First PrincipleJustin Deters, Jiaye Wu, Yifan Xu, I-Ting Angelina Lee. 59-70 [doi]
- Invited Paper for the Hot Workloads Special Session Hot Regions in SPEC CPU2017Qinzhe Wu, Steven Flolid, Shuang Song, Junyong Deng, Lizy K. John. 71-77 [doi]
- ParchMint: A Microfluidics Benchmark SuiteBrian Crites, Radhakrishna Sanka, Joshua Lippai, Jeffrey McDaniel, Philip Brisk, Douglas Densmore. 78-79 [doi]
- ChopStiX: Systematic Extraction of Code-Representative MicrobenchmarksCalvin Bulla, Lluc Alvarez, Miquel Moretó, Ramon Bertran, Alper Buyuktosunoglu, Pradip Bose. 80-81 [doi]
- Characterizing DNN Models for Edge-Cloud ComputingChunwei Xia, Jiacheng Zhao, Huimin Cui, Xiaobing Feng 0002. 82-83 [doi]
- Gene Sequencing: Where Time GoesMeysam Roodi, Andreas Moshovos. 84-85 [doi]
- Characterizing Sources of Ineffectual Computations in Deep Learning NetworksMilos Nikolic, Mostafa Mahmoud, Andreas Moshovos. 86-87 [doi]
- Benchmarking and Analyzing Deep Neural Network TrainingHongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Anand Jayarajan, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko. 88-100 [doi]
- Characterising Across-Stack Optimisations for Deep Convolutional Neural NetworksJack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael O'Boyle, Amos J. Storkey. 101-110 [doi]
- Memory Requirements for Convolutional Neural Network Hardware AcceleratorsKevin Siu, Dylan Malone Stuart, Mostafa Mahmoud, Andreas Moshovos. 111-121 [doi]
- Profiling DNN Workloads on a Volta-based DGX-1 SystemSaiful A. Mojumder, Marcia S. Louis, Yifan Sun, Amir Kavyan Ziabari, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi. 122-133 [doi]
- Heterogeneous Memory Subsystem for Natural Graph AnalyticsAbraham Addisie, Hiwot Kassa, Opeoluwa Matthews, Valeria Bertacco. 134-145 [doi]
- Minimizing Read Seeks for SMR DiskMohammad Hossein Hajkazemi, Mania Abdi, Peter Desnoyers. 146-155 [doi]
- Reviving Zombie Pages on SSDsNima Elyasi, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das. 156-167 [doi]
- Simulating PCI-Express Interconnect for Future System ExplorationMohammad Alian, Krishna Parasuram Srinivasan, Nam Sung Kim. 168-178 [doi]
- Interference from GPU System Service RequestsArkaprava Basu, Joseph L. Greathouse, Guru Venkataramani, Ján Veselý. 179-190 [doi]
- Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark SuiteAng Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu 0001, Nathan R. Tallent, Kevin J. Barker. 191-202 [doi]
- When is Graph Reordering an Optimization? Studying the Effect of Lightweight Graph Reordering Across Applications and Input GraphsVignesh Balaji, Brandon Lucia. 203-214 [doi]