ASPLOS'24 - Session 1C - Case Studies and Experience

ASPLOS'24: The International Conference on Architectural Support for Programming Languages and Operating Systems

Session 1C: Case Studies and Experience
Session Chair: Akanksha Jain (Google)

Papers Presented:

1. A Quantitative Analysis and Guidelines of Data Streaming Accelerator in Modern Intel Xeon Scalable Processors
Authors: Reese Kuper (University of Illinois at Urbana Champaign); Ipoom Jeong (University of Illinois Urbana-Champaign); Yifan Yuan, Ren Wang, Narayan Ranganathan, and Nikhil Rao (Intel Labs); Jiayu Hu (Tencent); Sanjay Kumar and Philip Lantz (Intel Labs); Nam Sung Kim (University of Illinois Urbana-Champaign)

2. Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples
Authors: Phitchaya Mangpo Phothilimthana (Google DeepMind);Saurabh Kadekodi (Google);Soroush Ghodrati (University of California San Diego);Selene Moon (Google);Martin Maas (Google DeepMind)

3. A Journey of a 1,000 Kernels Begins with a Single Step: A Retrospective of Deep Learning on GPUs
Authors: Michael Davies, Ian McDougall, Selvaraj Anandaraj, Deep Machchhar, Rithik Jain, and Karthikeyan Sankaralingam (University of Wisconsin-Madison)

4. Expanding Datacenter Capacity with DVFS Boosting: A safe and scalable deployment experience
Authors: Leonardo Piga, Iyswarya Narayanan, Aditya Sundarrajan, Matt Skach, and Qingyuan Deng (Meta); Biswadip Maity (University of California Irvine); Manoj Chakkaravarthy, Alison Huang, Abhishek Dhanotia, and Parth Malani (Meta)