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Publication search results
found 802 matches
- 2024
- Yonghong Yan, Kewei Yan, Anjia Wang:
RTune: Towards Automated and Coordinated Optimization of Computing and Computational Objectives of Parallel Iterative Applications. ISPASS 2024: 85-95 - Andreas Abel, Yuying Li, Richard O'Grady, Chris Kennelly, Darryl Gove:
A Profiling-Based Benchmark Suite for Warehouse-Scale Computers. ISPASS 2024: 325-327 - Debpratim Adak, Hyokeun Lee, Ben Feinberg, Gwendolyn Voskuilen, Clayton Hughes, Huiyang Zhou, Amro Awad:
SEFsim: A Statistically-Guided Fast DRAM Simulator. ISPASS 2024: 304-306 - Tanner Andrulis, Gohar Irfan Chaudhry, Vinith M. Suriyakumar, Joel S. Emer, Vivienne Sze:
Architecture-Level Modeling of Photonic Deep Neural Network Accelerators. ISPASS 2024: 307-309 - Tanner Andrulis, Joel S. Emer, Vivienne Sze:
CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool. ISPASS 2024: 10-23 - Erick Carvajal Barboza, Mahesh Ketkar, Paul Gratz, Jiang Hu:
Aiding Microprocessor Performance Validation with Machine Learning. ISPASS 2024: 1-9 - Odysseas Chatzopoulos, Maria Trakosa, George Papadimitriou, Wing Shek Wong, Dimitris Gizopoulos:
SimPoint-Based Microarchitectural Hotspot & Energy-Efficiency Analysis of RISC-V OoO CPUs. ISPASS 2024: 120-131 - Pranab Dash, Y. Charlie Hu, Abhilash Jindal:
APGPM: Automated PMC-Based Power Modeling Methodology for Modern Mobile GPUs. ISPASS 2024: 295-297 - Kailash Gogineni, Sai Santosh Dayapule, Juan Gómez-Luna, Karthikeya Gogineni, Peng Wei, Tian Lan, Mohammad Sadrosadati, Onur Mutlu, Guru Venkataramani:
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems. ISPASS 2024: 217-229 - Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu:
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation. ISPASS 2024: 257-267 - Davit Grigoryan, Yuan-Hsi Chou, Tor M. Aamodt:
Zatel: Sample Complexity-Aware Scale-Model Simulation for Ray Tracing. ISPASS 2024: 156-166 - Bagus Hanindhito, Bhavesh Patel, Lizy K. John:
Bandwidth Characterization of DeepSpeed on Distributed Large Language Model Training. ISPASS 2024: 241-256 - Wim Heirman, Stijn Eyerman:
Message from the Program Chairs; ISPASS 2024. ISPASS 2024: xii-xiii - Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Jayanaka Dantanarayana, Krisztián Flautner, Lingjia Tang, Yiping Kang, Jason Mars:
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production. ISPASS 2024: 280-291 - Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Bambhaniya, Tushar Krishna, Alexandros Daglis:
Leveraging Memory Expansion to Accelerate Large-Scale DL Training. ISPASS 2024: 292-294 - Victor Kariofillis, Natalie Enright Jerger:
Workload Characterization of Commercial Mobile Benchmark Suites. ISPASS 2024: 73-84 - Nikitha Karman, Kevin Wei, Dylan Scott, Natheesan Ratnasegar, Oguzhan Canpolat, Hieu Mai, Michael Ferdman:
Infrastructure for Exploring SIMT Architecture in General-Purpose Processors. ISPASS 2024: 316-318 - Xinyu Li, Yanzhi Lan, Gen Niu, Feng Xue, Fuxin Zhang:
BTBench: A Benchmark for Comprehensive Binary Translation Performance Evaluation. ISPASS 2024: 36-47 - Sanyam Mehta, Anna Yue:
Forward to the Past: An Alternative to Hybrid CPU Design. ISPASS 2024: 230-240 - Negar Neda, Austin Ebel, Benedict Reynwar, Brandon Reagen:
CiFlow: Dataflow Analysis and Optimization of Key Switching for Homomorphic Encryption. ISPASS 2024: 61-72 - Marcelo Orenes-Vera, Esin Tureci, Margaret Martonosi, David Wentzlaff:
MuchiSim: A Simulation Framework for Design Exploration of Multi-Chip Manycore Systems. ISPASS 2024: 48-60 - Yuxin Qin, Dejice Jacob, Jeremy Singer:
Characterizing Dynamic Memory Behavior in WebAssembly Workloads. ISPASS 2024: 328-330 - Mohammadreza Rezvani, Ali Jahanshahi, Daniel Wong:
Characterizing In-Kernel Observability of Latency-Sensitive Request-Level Metrics with eBPF. ISPASS 2024: 24-35 - Timothy Rogers:
Message from the General Chair; ISPASS 2024. ISPASS 2024: xi - Md Sami Ul Islam Sami, Jingbo Zhou, Sujan Kumar Saha, Fahim Rahman, Farimah Farahmandi, Mark M. Tehranipoor:
SAP: Silicon Authentication Platform for System-on-Chip Supply Chain Vulnerabilities. ISPASS 2024: 109-119 - Gabin Schieffer, Daniel Araújo de Medeiros, Jennifer Faj, Aniruddha Marathe, Ivy Peng:
On the Rise of AMD Matrix Cores: Performance, Power Efficiency, and Programmability. ISPASS 2024: 132-143 - Umer Shahid, Ayesha Ahmad, Shanzay Wasim:
Gem5-Based Evaluation of CVA6 SoC: Insights into the Architectural Design. ISPASS 2024: 298-300 - Puru Sharma, Gary Goh Yipeng, Bin Gao, Longshen Ou, Dehui Lin, Deepak Sharma, Djordje Jevdjic:
DNA Storage Toolkit: A Modular End-to-End DNA Data Storage Codec and Simulator. ISPASS 2024: 144-155 - Shubhendra Pal Singhal, Akihiro Hayashi, Vivek Sarkar:
Bottleneck Scenarios in Use of the Conveyors Message Aggregation Library. ISPASS 2024: 322-324 - Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz:
Vision Transformer Computation and Resilience for Dynamic Inference. ISPASS 2024: 192-204
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