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ORCIDIISWC 2021: Storrs, CT, USA
- IEEE International Symposium on Workload Characterization, IISWC 2021, Storrs, CT, USA, November 7-9, 2021. IEEE 2021, ISBN 978-1-6654-4173-5
- Tim Rogers, Huiyang Zhou:
Message from the Program Chairs. ix - Ron Perez:
Achieving the Promise of Confidential Computing. xv-xvi - Omer Khan, Ravi Soundararajan:
Message from the General Chairs. viii - Bahar Asgari
, Ramyad Hadidi, Joshua Dierberger, Charlotte Steinichen, Amaan Marfatia, Hyesoon Kim:
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads. 1-12 - Alberto Parravicini, René Müller:
The Cost of Speculation: Revisiting Overheads in the V8 JavaScript Engine. 13-23 - Muhammad Huzaifa, Rishi Desai, Samuel Grayson, Xutao Jiang, Ying Jing, Jae Lee, Fang Lu, Yihan Pang, Joseph Ravichandran, Finn Sinclair, Boyuan Tian, Hengzhi Yuan, Jeffrey Zhang, Sarita V. Adve:
ILLIXR: Enabling End-to-End Extended Reality Research. 24-38 - Gokul Subramanian Ravi, Kaitlin N. Smith, Pranav Gokhale, Frederic T. Chong:
Quantum Computing in the Cloud: Analyzing job and machine characteristics. 39-50 - Dmitrii Ustiugov, Theodor Amariucai, Boris Grot:
Analyzing Tail Latency in Serverless Clouds with STeLLAR. 51-62 - Narges Shahidi, Jashwant Raj Gunasekaran, Mahmut Taylan Kandemir:
Cross-Platform Performance Evaluation of Stateful Serverless Workflows. 63-73 - Rohan Basu Roy, Tirthak Patel, Devesh Tiwari:
Characterizing and Mitigating the I/O Scalability Challenges for Serverless Applications. 74-86 - Nishil Talati, Di Jin, Haojie Ye, Ajay Brahmakshatriya, Ganesh S. Dasika, Saman P. Amarasinghe, Trevor N. Mudge, Danai Koutra, Ronald G. Dreslinski:
A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning. 87-100 - Mohsen Koohi Esfahani, Peter Kilpatrick, Hans Vandierendonck:
Locality Analysis of Graph Reordering Algorithms. 101-112 - George Papadimitriou, Dimitris Gizopoulos:
Characterizing Soft Error Vulnerability of CPUs Across Compiler Optimizations and Microarchitectures. 113-124 - Ioannis Tsiokanos, George Papadimitriou, Dimitris Gizopoulos, Georgios Karakonstantis:
Boosting Microprocessor Efficiency: Circuit- and Workload-Aware Assessment of Timing Errors. 125-137 - Saeed Taheri, Ganesh Gopalakrishnan:
GoAT: Automated Concurrency Analysis and Debugging Tool for Go. 138-150 - Xiaochun Zhang, Timothy M. Jones, Simone Campanoni:
Quantifying the Semantic Gap Between Serial and Parallel Programming. 151-162 - Alexander Hankin, David Werner, Maziar Amiraski, Julien Sebot, Kaushik Vaidyanathan, Mark Hempstead:
HotGauge: A Methodology for Characterizing Advanced Hotspots in Modern and Next Generation Processors. 163-175 - Mahmood Naderan-Tahan, Lieven Eeckhout:
Cactus: Top-Down GPU-Compute Benchmarking using Real-Life Applications. 176-188 - Eddie Q. Yan, Liang Luo, Luis Ceze:
Characterizing and Taming Resolution in Convolutional Neural Networks. 189-200 - Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna:
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. 201-213 - Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu:
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. 214-225 - Omais Shafi, Chinmay Rai, Rijurekha Sen, Gayathri Ananthanarayanan:
Demystifying TensorRT: Characterizing Neural Network Inference Engine on Nvidia Edge Devices. 226-237
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