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ORCIDIISWC 2025: Irvine, CA, USA
- IEEE International Symposium on Workload Characterization, IISWC 2025, Irvine, CA, USA, October 12-14, 2025. IEEE 2025, ISBN 979-8-3315-4917-6
- Hana Chitsaz, Johnson Umeike, Amirmahdi Namjoo, Babak N. Safa, Bahar Asgari:
Belenos: Bottleneck Evaluation to Link Biomechanics to Novel Computing Optimizations. 1-15 - Lina Sawalha, Grant Deljevic:
Workload Characterization Using Cross-Layer Features and Multilevel PCA. 16-27 - Ning Liang, Fabian Wenz, Jana Giceva, Lisa Wu Wills:
Athena: A Plug-and-Play Advisor for Retrieval-Augmented Generation using VectorDB. 28-41 - Rashid Aligholipour, Yuan Yao:
The Fake-Busy and True-Idle Problems of Running Graph Applications on Chiplet-Based Multi-Cores. 42-55 - Anshuman Das Mohapatra, Kwangsung Oh:
WANify: Gauging and Balancing Runtime WAN Bandwidth for Geo-distributed Data Analytics. 56-69 - Jane Rhee, Eunbi Jeong, Jiwon Lee, Myung Kuk Yoon:
Understanding Distributed Training of Large Language Models with Unified Virtual Memory. 70-83 - Marcin Chrapek, Marcin Copik, Etienne Mettaz, Torsten Hoefler:
Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs. 84-98 - Benjamin Kubwimana, Qijing Huang:
EdgeReasoning: Characterizing Reasoning LLM Deployment on Edge GPUs. 99-115 - Wenzhe Guo, Joyjit Kundu, Uras Tos, Weijiang Kong, Giuliano Sisto, Timon Evenblij, Manu Perumkunnil:
Keeping up with Large Language Models: A Holistic Methodology of Compute, Memory, Communication, and Cost Modeling. 116-126 - Ziyu Hu, Zhiqing Zhong, Weijian Zheng, Zhijing Ye, Xuwei Tan, Xueru Zhang, Zheng Xie, Rajkumar Kettimuthu, Xiaodong Yu:
DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs. 127-141 - Tarunesh Verma, Yichao Yuan, Nishil Talati, Todd M. Austin:
ZKProphet: Understanding Performance of Zero-Knowledge Proofs on GPUs. 142-154 - Shagnik Pal, Jeeho Ryoo, Lizy K. John:
The Curious Case of Global Stable Loads. 155-166 - George-Marios Fragkoulis, Dimitris Gizopoulos:
vACE: Exploring the Design Space of Vector Processing Units for Soft Error Vulnerability. 167-178 - Phaedra S. Curlin, Tamara Silbergleit Lehman:
CASM: A Generalizable and Accessible Security Metric to Evaluate Security of Cache Architectures. 179-192 - Pranjali Jain, Meiru Han, Zhizhou Zhang, Brandon Lee, Jonathan Balkind:
Learning Architectural Cache Simulator Behaviour. 193-205 - Ji Yeong Yi, Eunbi Jeong, SungHee Yum, Jane Rhee, Sangun Choi, Gunjae Koo, Yunho Oh, Myung Kuk Yoon:
HALO: Hybrid Systolic Arrays via Logical Partitioning for Acceleration of Complex-Valued Neural Networks. 206-218 - Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello:
Exploring Lossy Compression of Activation Data for Emerging AI Accelerators: A Case Study on the Graphcore IPU. 219-232 - Yanwen Xu, Rithik Sharma, Zheyuan Chen, Shaan Mistry, Tyler Sorensen:
BetterTogether: An Interference-Aware Framework for Fine-grained Software Pipelining on Heterogeneous SoCs. 233-245 - Daniel Pacheco, Leonel Sousa, Aleksandar Ilic:
PRISM: Processing-In-Memory Sparse MTTKRP for Tensor Decomposition Acceleration. 246-256 - Marzieh Barkhordar, Alireza Tabatabaeian, Mohammad Sadrosadati, Christina Giannoula, Juan Gómez-Luna, Izzat El Hajj, Onur Mutlu, Alaa R. Alameldeen:
ALPHA-PIM: Analysis of Linear Algebraic Processing for High-Performance Graph Applications on a Real Processing-In-Memory System. 257-271 - Noah Kaplan, Jan-Niklas Schmelzle, Yufeng Gu, Erik Garrison, Christopher Batten, Reetuparna Das:
PangenomicsBench: A Benchmark Suite and Characterization of Pangenomics. 272-285 - Satvik Maurya, Joshua Viszlai, Nithin Raveendran, Poulami Das, Swamit Tannu:
decoder-bench: Benchmarking Decoders for Quantum Error Correction. 286-295 - Mostafa Eghbali Zarch, Michela Becchi:
A Comprehensive Analysis of Graph Neural Networks Training at Different Scales. 296-308 - Derin Ozturk, Nick Cebry, Angela Cui, Hang Gao, Julie Villamil, E. Farrell Helbling, Christopher Batten:
EntoBench: A Benchmark Suite and Evaluation Framework for Insect-Scale Robotics. 309-324 - Sudhanshu Gupta, Sandhya Dwarkadas:
Improving the Performance of Out-of-Core LLM Inference Using Heterogeneous Host Memory. 325-338 - Jessica Imlau Dagostini, Joseph B. Manzano, Tyler Sorensen, Scott Beamer:
miniGiraffe: A Pangenomic Mapping Proxy App. 339-352 - Krijn Doekemeijer, Zebin Ren, Tiziano De Matteis, Balakrishnan Chandrasekaran, Animesh Trivedi:
Does Linux Provide Performance Isolation for NVMe SSDs? Configuring cgroups for I/O Control in the NVMe Era. 353-367 - Jacob Wahlgren, Gabin Schieffer, Ruimin Shi, Edgar A. León, Roger Pearce, Maya B. Gokhale, Ivy Peng:
Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs. 368-380 - Tiancheng Xu, Alan L. Cox, Scott Rixner:
Design and accuracy trade-offs in Computational Statistics. 381-393 - Yanjing Ren, Jia Zhao, Jingwei Li, Patrick P. C. Lee:
An Analysis of Ethereum Workloads from a Key-Value Storage Perspective. 394-406 - Zebin Ren, Krijn Doekemeijer, Padma Apparao, Animesh Trivedi:
Storage-Based Approximate Nearest Neighbor Search: What are the Performance, Cost, and I/O Characteristics? 407-422 - Xiaoyang Sun, Jeremy Singer, Zheng Wang:
Sweet or Sour CHERI: Performance Characterization of the Arm Morello Platform. 423-438 - Akash Poptani, Alireza Khadem, Scott A. Mahlke, Jonah M. Miller, Joshua C. Dolence, Galen M. Shipman, Reetuparna Das:
Characterizing Adaptive Mesh Refinement on Heterogeneous Platforms with Parthenon-VIBE. 439-451 - Prashanth Ganesh, Zekai Lin, Yakun Sophia Shao:
XRSight: An End-to-End Hardware-Software Co-Design Platform for XR SoC Evaluation. 452-463 - Matthew Edwin Weingarten, Michael Grieco, Stephen Edwards, Tanvir Ahmed Khan:
Icicle: Open-Source Hardware Support for Top-Down Microarchitectural Analysis on RISC-V. 464-477 - Jinpyo Kim, Mingi Kwon, Jishen Zhao:
AlphaFold3 Workload Characterization: A Comprehensive Analysis of Bottlenecks and Performance Scaling. 478-488 - Shengjun Kris Dong, Dima Nikiforov, Widyadewi Soedarmadji, Minh Nguyen, Vikram Jain, Christopher W. Fletcher, Yakun Sophia Shao:
Characterizing and Optimizing Real-Time Optimal Control for Embedded SoCs. 489-503 - Tim Lühnen, Jyotirman Behera, Devashree Tripathy, Sohan Lal:
ClusterSim: Modeling Thread Block Clusters in Hopper GPUs. 504-515 - Nolin Szafranski, Hong Bing Tang, Lina Sawalha:
Adaptive Graphical Settings Optimization for Energy-Efficient Mobile 3D Rendering. 516-519 - Georgios Pournaras, Vasileios Karakostas, George Papadimitriou, Dimitris Gizopoulos:
Benchmarking Support for RISC-V CPUs in Serverless Computing. 520-523 - Patrick Hardison, Chris Kjellqvist, Ning Liang, Lisa Wu Wills:
CoBloom: An FPGA Accelerator System for Bloom Filter Insertion in Genomics Applications. 524-528 - Yu-Ching Hu, Owen Lam, Yuliang Li, Hung-Wei Tseng:
PArtnerM2LB: Personal Assistant Multi-device Machine Learning Benchmark. 529-532
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