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ORCIDISPASS 2023: Raleigh, NC, USA
- IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2023, Raleigh, NC, USA, April 23-25, 2023. IEEE 2023, ISBN 979-8-3503-9739-0
- Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna:
Characterization of Data Compression in Datacenters. 1-12 - Fatemeh Ghasemi, Lukas Liedtke
, Magnus Jahre:
PES: An Energy and Throughput Model for Energy Harvesting IoT Systems. 13-23 - Jiaao Ma, Ceyu Xu, Lisa Wu Wills:
PyTFHE: An End-to-End Compilation and Execution Framework for Fully Homomorphic Encryption Applications. 24-34 - Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard, Julien Legriel, Remy Cimadomo, Geraldo F. Oliveira, Gagandeep Singh, Onur Mutlu:
Evaluating Machine LearningWorkloads on Memory-Centric Computing Systems. 35-49 - Shruti Yadav Narayana, Jie Tong, Anish Krishnakumar, Nuriye Yildirim, Emily Shriver, Mahesh Ketkar, Ümit Y. Ogras:
MQL: ML-Assisted Queuing Latency Analysis for Data Center Networks. 50-60 - Gino Chacon, Nathan Gober, Krishnendra Nathella, Paul V. Gratz, Daniel A. Jiménez:
A Characterization of the Effects of Software Instruction Prefetching on an Aggressive Front-end. 61-70 - Emilio Domínguez-Sánchez, Alberto Ros:
MBPlib: Modular Branch Prediction Library. 71-80 - John Alistair Kressel, Guillermo Callaghan, Cosmin Gorgovan, Mikel Luján:
Evaluating the Impact of Optimizations for Dynamic Binary Modification on 64-bit RISC-V. 81-91 - Anna Yue, Sanyam Mehta:
An Application-Oriented Approach to Designing Hybrid CPU Architectures. 92-102 - Johnson Umeike, Neel Patel, Alex Manley, Amin Mamandipoor, Heechul Yun, Mohammad Alian:
Profiling gem5 Simulator. 103-113 - Markos Kynigos, Javier Navaridas, Jose Antonio Pascual, Mikel Luján:
A Novel Simulation Methodology for Silicon Photonic Switching Fabrics. 114-123 - Stijn Eyerman, Sam Van den Steen, Wim Heirman, Ibrahim Hur:
Simulating Wrong-Path Instructions in Decoupled Functional-First Simulation. 124-133 - Alexander Hankin, Lillian Pentecost, Dongmoon Min, David Brooks, Gu-Yeon Wei:
Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory. 134-144 - Mohsin Shan, Deniz Gurevin, Jared Nye, Caiwen Ding, Omer Khan:
MergePath-SpMM: Parallel Sparse Matrix-Matrix Algorithm for Graph Neural Network Acceleration. 145-156 - Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi:
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs. 157-167 - Matthew Joseph Adiletta, Jesmin Jahan Tithi, Emmanouil-Ioannis Farsarakis, Gerasimos Gerogiannis, Robert Adolf, Robert Benke, Sidharth Kashyap, Samuel Hsia, Kartik Lakhotia, Fabrizio Petrini, Gu-Yeon Wei, David Brooks:
Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA. 168-177 - Zhuren Liu, Shouzhe Zhang, Justin Garrigus, Hui Zhao:
Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis. 178-188 - Lauren Biernacki, Biniyam Mengist Tiruye, Meron Zerihun Demissie, Fitsum Assamnew Andargie, Brandon Reagen, Todd M. Austin:
Exploring the Efficiency of Data-Oblivious Programs. 189-200 - Yanwen Xu, Ang Li, Tyler Sorensen:
Redwood: Flexible and Portable Heterogeneous Tree Traversal Workloads. 201-213 - Vignesh Balaji, Neal Clayton Crago, Aamer Jaleel, Stephen W. Keckler:
Community-based Matrix Reordering for Sparse Linear Algebra Optimization. 214-223 - Mahmood Naderan-Tahan, Hossein SeyyedAghaei, Lieven Eeckhout:
Sieve: Stratified GPU-Compute Workload Sampling. 224-234 - Maurus Item, Geraldo F. Oliveira, Juan Gómez-Luna, Mohammad Sadrosadati, Yuxin Guo, Onur Mutlu:
TransPimLib: Efficient Transcendental Functions for Processing-in-Memory Systems. 235-247 - Seokjin Go, Hyunwuk Lee, Junsung Kim, Jiwon Lee, Myung Kuk Yoon, Won Woo Ro:
Early-Adaptor: An Adaptive Framework forProactive UVM Memory Management. 248-258 - MohammadHossein Olyaiy, Christopher Ng, Alexandra (Sasha) Fedorova, Mieszko Lis:
Sunstone: A Scalable and Versatile Scheduler for Mapping Tensor Algebra on Spatial Accelerators. 259-271 - Deepraj Soni, Negar Neda, Naifeng Zhang, Benedict Reynwar, Homer Gamil, Benjamin Heyman, Mohammed Nabeel, Ahmad Al Badawi, Yuriy Polyakov, Kellie Canida, Massoud Pedram, Michail Maniatakos, David Bruce Cousins, Franz Franchetti, Matthew French, Andrew G. Schmidt, Brandon Reagen:
RPU: The Ring Processing Unit. 272-282 - William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna:
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. 283-294 - Maziar Amiraski, David Werner, Alexander Hankin, Julien Sebot, Kaushik Vaidyanathan, Mark Hempstead:
Boreas: A Cost-Effective Mitigation Method for Advanced Hotspots using Machine Learning and Hardware Telemetry. 295-305 - Diksha Moolchandani, Joyjit Kundu, Frederik Ruelens, Peter Vrancx, Timon Evenblij, Manu Perumkunnil:
AMPeD: An Analytical Model for Performance in Distributed Training of Transformers. 306-315 - Michael Gilbert, Yannan Nellie Wu, Angshuman Parashar, Vivienne Sze, Joel S. Emer:
LoopTree: Enabling Exploration of Fused-layer Dataflow Accelerators. 316-318 - Sanya Srivastava, Tyler Sorensen:
Degree-Aware Kernel Mapping for Graph Processing on GPUs. 319-321 - Mahita Nagabhiru, Greg Byrd:
lfbench: a lock-free microbenchmark suite. 322-324 - Zheming Jin, Jeffrey S. Vetter:
A Benchmark Suite for Improving Performance Portability of the SYCL Programming Model. 325-327 - Tom Glint, Aryan Gupta, Daniel Giftson, Gaurav Shah, Vrajesh Patel, Ruchit Chudasama, Sukanya More, Joycee Mekie:
Impact of Optimal Design Point on Performance Metrics of DNN accelerators in FPGA. 328-330 - Lina Sawalha, Grant Deljevic:
Workload Characterization Using Hierarchical PCA. 331-333 - Jinghan Huang, Jiaqi Lou, Yan Sun, Tianchen Wang, Eun Kyung Lee, Nam Sung Kim:
Analyzing Energy Efficiency of a Server with a SmartNIC under SLO Constraints. 334-336 - Athanasios Kordelas, Thanasis Spyrou, Spyros Voulgaris, Vasileios Megalooikonomou, Nikos Deligiannis:
KORDI: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming. 337-339 - Maryam Babaie, Ayaz Akram, Jason Lowe-Power:
Enabling Design Space Exploration of DRAM Caches for Emerging Memory Systems. 340-342 - Ying Li, Yifan Sun, Adwait Jog:
A Regression-based Model for End-to-End Latency Prediction for DNN Execution on GPUs. 343-345 - Massimo Coluzzi, Amos Brocco, Patrizio Contu, Tiziano Leidi:
A survey and comparison of consistent hashing algorithms. 346-348 - Tom Glint, Chandan Kumar Jha, Manu Awasthi, Joycee Mekie:
Analysis of Conventional, Near-Memory, and In-Memory DNN Accelerators. 349-351 - Stavroula Zouzoula, Muhammad Waqar Azhar, Pedro Trancoso:
RAINBOW: Multi-Dimensional Hardware-Software Co-Design for DL Accelerator On-Chip Memory. 352-354 - Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst:
Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators. 355-357
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