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SELECT CONFERENCES and PUBLICATIONS in 1H 2022
POPL 2023, 50th ACM Symposium on Principles of Programming Languages, January 15-21, 2023, BOSTON, MA, USA
SwitchLog: A Logic Programming Language for Network Switches
Vaibhav Mehta Princeton University, Devon Loehr Princeton University, John Sonchack University of Pennsylvania, USA, David Walker Princeton University
P4Cub: A Little Language for Big Routers
Rudy Peterson Cornell University, Eric Campbell Cornell University, John Chen Cornell University, Natalie Isak Microsoft, Calvin Shyu Cornell University, Ryan Doenges Cornell University, Parsia Ataei Cornell University, Nate Foster Cornell University
Cachet: A Domain-Specific Language for Trustworthy Just-In-Time Compilers
Michael Smith UC San Diego, Abhishek Sharma UC San Diego, John Renner University of California at San Diego, USA, David Thien UC San Diego, Sorin Lerner University of California at San Diego, Fraser Brown CMU, Hovav Shacham University of Texas at Austin, Deian Stefan University of California at San Diego
Universally Composable Security for Program Partitioning
Coşku Acay Cornell University, Joshua Gancher Carnegie Mellon University, Rolph Recto Cornell University, Andrew Myers Cornell University
FAST '23 - The 21st USENIX Conference on File and Storage Technologies - February 22-24, 2023, Santa Clara, CA, USA
Ruiming Lu, Shanghai Jiao Tong University; Erci Xu, Alibaba Inc. and Shanghai Jiao Tong University; Yiming Zhang, Xiamen University; Fengyi Zhu, Zhaosheng Zhu, Mengtian Wang, and Zongpeng Zhu, Alibaba Inc.; Guangtao Xue, Shanghai Jiao Tong University; Jiwu Shu, Xiamen University; Minglu Li, Shanghai Jiao Tong University and Zhejiang Normal University; Jiesheng Wu, Alibaba Inc.
Awarded Best Paper!
HPCA-29 - The 28th IEEE International Symposium on High-Performance Computer Architecture - February 25-March 1, 2023 in Montreal, Canada
ISOSceles: Accelerating Sparse CNNs through Inter-Layer Pipelining
Yifan Yang (MIT), Joel Emer (MIT/NVIDIA),, Daniel Sanchez (MIT)
EVE: Ephemeral Vector Engines
Khalid Al-Hawaj (Cornell University), Tuan Ta (Cornell University), Nick Cebry (Cornell University), Shady Agwa (Cornell University), Olalekan Afuye (Cornell University), Eric Hall (Cornell University), Courtney Golden (Cornell University), Alyssa B. Apsel (Cornell University), Christopher Batten (Cornell University)
SpecFaaS: Accelerating Serverless Applications with Speculative Function Execution
Jovan Stojkovic (University of Illinois at Urbana-Champaign), Tianyin Xu (University of Illinois at Urbana-Champaign), Hubertus Franke (IBM Research), Josep Torrellas (University of Illinois Urbana-Champaign)
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks
Seah Kim (University of California, Berkeley), Hasan Genc (University of California, Berkeley), Vadim Vadimovich Nikiforov (University of California, Berkeley), Krste Asanovic (University of California Berkeley),
Borivoje Nikolic (University of California, Berkeley), Yakun Sophia Shao (University of California, Berkeley)
Phloem: Automatic Acceleration of Irregular Applications with Fine-Grain Pipeline Parallelism
Quan Nguyen (MIT), Daniel Sanchez (MIT)
ASPLOS 2023 - The 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, March 25-29, 2023, Vancouver, Canada
WACO: Learning Workload-Aware Co-optimization of the Format and Schedule of a Sparse Tensor Program
Jaeyeon Won (Massachusetts Inst. of Technology); Charith Mendis (Univ. of Illinois Urbana-Champaign); Joel Emer (Massachusetts Inst. of Technology / NVIDIA); Saman Amarasinghe (Massachusetts Inst. of Technology)
Ditto: End-to-End Application Cloning for Networked Cloud Services
Mingyu Liang, Yu Gan, Yueying Li (Cornell Univ.); Carlos Torres, Abhishek Dhanotia (Meta); Mahesh Ketkar (Intel); Christina Delimitrou (Massachusetts Inst. of Technology)
MC Mutants: Evaluating and Improving Testing for Memory Consistency Specifications
Reese Levine, Tianhao Guo, Mingun Cho (Univ. of California, Santa Cruz); Alan Baker, Raph Levien, David Neto (Google); Andrew Quinn, Tyler Sorensen (Univ. of California, Santa Cruz)
TelaMalloc: Efficient On-Chip Memory Allocation for Production Machine Learning Accelerators
Martin Maas, Ulysse Beaugnon, Arun Chauhan, Berkin Ilbeyi (Google)
Beyond Static Parallel Loops: Supporting Dynamic Task Parallelism on Manycore Architectures with Software-Managed Scratchpad Memories
Lin Cheng (Cornell Univ.); Max Ruttenberg, Dai Cheol Jung (Univ. of Washington); Dustin Richmond (Univ. of California, Santa Cruz); Michael Taylor, Mark Oskin (Univ. of Washington); Christopher Batten (Cornell Univ.)
AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflows
Zhuangzhuang Zhou, Yanqi Zhang, Christina Delimitrou (Cornell Univ.)
Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters
Bilge Acun (Meta); Benjamin Lee (Univ. of Pennsylvania / Meta); Fiodar Kazhamiaka (Stanford Univ.); Kiwan Maeng (Meta); Udit Gupta (Harvard Univ.); Manoj Chakkaravarthy (Meta); David Brooks (Harvard Univ.); Carole-Jean Wu (Meta)
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
Zihao Ye (Univ. of Washington); Ruihang Lai (Carnegie Mellon Univ.); Junru Shao (OctoML); Tianqi Chen (Carnegie Mellon Univ.); Luis Ceze (Univ. of Washington)
The Sparse Abstract Machine
Olivia Hsu, Maxwell Strange, Ritvik Sharma (Stanford Univ.); Jaeyeon Won (Massachusetts Inst. of Technology); Kunle Olukotun (Stanford Univ.); Joel Emer (Massachusetts Inst. of Technology / NVIDIA); Mark A Horowitz, Fredrik Kjolstad (Stanford Univ.)
Reconfigurable Virtual Memory for FPGA-Driven I/O
Joshua Landgraf, Matthew Giordano, Esther Yoon (Univ. of Texas at Austin); Christopher J. Rossbach (Univ. of Texas at Austin / Katana Graph)
RAIZN: Redundant Array of Independent Zoned Namespaces
Thomas Kim, Jekyeom Jeon, Nikhil Arora, Huaicheng Li (Carnegie Mellon Univ.); Michael Kaminsky (BrdgAI / Carnegie Mellon Univ.); David Andersen, Gregory R. Ganger, George Amvrosiadis (Carnegie Mellon Univ.); Matias Bjørling (Western Digital)
Hyperscale Hardware Optimized Neural Architecture Search
Sheng Li, Garrett Andersen, Tao Chen, Liqun Cheng, Julian Grady, Da Huang, Quoc Le, Andrew Li, Xin Li, Yang Li, Chen Liang, Yifeng Lu, Yun Ni (Google); Ruoming Pang (Apple); Mingxing Tan (Waymo); Martin Wicke, Gang Wu, Shengqi Zhu, Parthasarathy Ranganathan, Norman P. Jouppi (Google)
Towards a Machine Learning-Assisted Kernel with LAKE
Henrique Fingler, Isha Tarte (Univ. of Texas at Austin); Hangchen Yu (Meta); Ariel Szekely (Massachusetts Inst. of Technology); Bodun Hu, Aditya Akella (Univ. of Texas at Austin); Christopher Rossbach (Univ. of Texas at Austin / Katana Graph)
Towards an Adaptable Systems Architecture for Memory Tiering at Warehouse-Scale
Padmapriya Duraisamy, Wei Xu, Scott Hare, Ravi Rajwar (Google); David Culler (Google / UC Berkeley); Zhiyi Xu, Jianing Fan, Chris Kennelly, Bill McCloskey, Danijela Mijailovic, Brian Morris, Chiranjit Mukherjee, Jingliang Ren, Greg Thelen, Paul Turner, Carlos Villavieja, Parthasarathy Ranganathan, Amin Vahdat (Google)
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation
Samuel Hsia, Udit Gupta (Harvard Univ. / Meta AI); Bilge Acun, Newsha Ardalani, Pan Zhong (Meta AI); Gu-Yeon Wei (Harvard Univ. / Samsung); David Brooks (Harvard Univ. / Meta AI); Carole-Jean Wu (Meta AI)
APEX: A Framework for Automated Processing Element Design Space Exploration using Frequent Subgraph Analysis
Jackson Melchert, Kathleen Feng, Caleb Donovick, Ross Daly, Ritvik Sharma, Clark Barrett, Mark Horowitz, Pat Hanrahan, Priyanka Raina (Stanford)
Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks
Tushar Swamy (Stanford); Annus Zulfiqar (Purdue); Luigi Nardi (Lund / Stanford); Muhammad Shahbaz (Purdue); Kunle Olukotun (Stanford)
NSDI - 20th USENIX Symposium on Networked Systems Design and Implementation - APRIL 17-19, 2023, Boston MA, USA
Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, and Gautam Mittal, UC Berkeley; Scott Shenker, UC Berkeley and ICSI; Ion Stoica, UC Berkeley
Sarah McClure and Zeke Medley, UC Berkeley; Deepak Bansal and Karthick Jayaraman, Microsoft; Ashok Narayanan, Google; Jitendra Padhye, Microsoft; Sylvia Ratnasamy, UC Berkeley and Google; Anees Shaikh, Google; Rishabh Tewari, Microsoft
Mina Tahmasbi Arashloo, University of Waterloo; Ryan Beckett, Microsoft Research; Rachit Agarwal, Cornell University
Pengfei Zheng and Rui Pan, University of Wisconsin-Madison; Tarannum Khan, The University of Texas at Austin; Shivaram Venkataraman, University of Wisconsin-Madison; Aditya Akella, The University of Texas at Austin
Inho Cho, MIT CSAIL; Ahmed Saeed, Georgia Tech; Seo Jin Park, Mohammad Alizadeh, and Adam Belay, MIT CSAIL
Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, and Ion Stoica, University of California, Berkeley
Yanqing Chen, State Key Laboratory for Novel Software Technology, Nanjing University and Alibaba Group; Bingchuan Tian, Alibaba Group; Chen Tian, State Key Laboratory for Novel Software Technology, Nanjing University; Li Dai, Yu Zhou, Mengjing Ma, and Ming Tang, Alibaba Group; Hao Zheng, Zhewen Yang, and Guihai Chen, State Key Laboratory for Novel Software Technology, Nanjing University; Dennis Cai and Ennan Zhai, Alibaba Group
EuroSys 2023 - May 8-12, 2023, Rome, Italy
Dissecting BFT Consensus: In Trusted Components we Trust!
Suyash Gupta (UC Berkeley), Sajjad Rahnama (University of California, Davis), Shubham Pandey (University of California, Davis), Natacha Crooks (UC Berkeley), Mohammad Sadoghi (University of California, Davis)
Unikernel Linux (UKL)
Ali Raza (Boston University), Thomas Unger (Boston University), Matthew Boyd (MIT CSAIL); Eric B. Munson (Boston University), Parul Sohal (Boston University), Ulrich Drepper (Red Hat), Richard Jones (Red Hat), Daniel Bristot de Oliveira (Red Hat), Larry Woodman (Red Hat); Renato Mancuso (Boston University), Jonathan Appavoo (Boston University), Orran Krieger (Boston University)
Morty: Scaling Concurrency Control with Re-Execution
Matthew Burke (Cornell University), Florian Suri-Payer (Cornell University), Jeffrey Helt (Princeton University), Lorenzo Alvisi (Cornell University), Natacha Crooks (UC Berkeley)
ISCA 50 - The International Symposium on Computer Architecture
June 17-21, 2023, Orlando Florida, USA
PMystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks
Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou
μManycore: A Cloud-Native CPU for Tail at Scale
Jovan Stojkovic, Chunao Liu, Muhammad Shahbaz, Josep Torrellas
CDPU: Co-designing Compression and Decompression Processing Units for Hyperscale Systems
Sagar Karandikar, Aniruddha N. Udipi, Junsun Choi, Joonho Whangbo, Jerry Zhao, Svilen Kanev, Edwin Lim, Jyrki Alakuijala, Vrishab Madduri, Yakun Sophia Shao, Borivoje Nikolic, Krste Asanovic, Parthasarathy Ranganathan
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design
Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi
Profiling Hyperscale Data Processing
Abraham Gonzalez, Aasheesh Kolli, Samira Khan, Sihang Liu, Vidushi Dadu, Sagar Karandikar, Jichuan Chang, Krste Asanović, Parthasarathy Ranganathan
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embedding
Norm Jouppi, George Kurian, Sheng Li, Peter Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swin, Brian Towles, Clifford Young, Xiang Zhou, Zongwei Zhou, David A Patterson, David Patterson
A Research Retrospective on AMD’s Exascale Computing Journey
Gabriel H. Loh , Michael J. Schulte , Mike Ignatowski , Vignesh Adhinarayanan , Shaizeen Aga , Derrick Aguren , Varun Agrawal , Ashwin M. Aji , John Alsop , Paul Bauman , Bradford M. Beckmann , Majed Valad Beigi , Sergey Blagodurov , Travis Boraten , Michael Boyer , William Brantley , Noel Chalmers , Shaoming Chen , Kevin Cheng , Michael L. Chu , David Cownie , Nicholas Curtis , Joris del Pino , Nam Duong , Alexandru Dutu , Yasuko Eckert , Christopher Erb , Chip Freitag , Joseph L. Greathouse , Sudhanva Gurumurthi , Anthony Gutierrez , Khaled Hamidouche , Sachin Hossamani , Wei Huang , Mahzabeen Islam , Nuwan Jayasena , John Kalamatianos , Onur Kayiran , Jagadish Kotra , Daniel Lowell , Niti Madan , Abhinandan Majumdar , Nicholas Malaya , Srilatha Manne , Susumu Mashimo , Damon McDougall , Elliott Mednick , Michael Mishkin , Mark Nutter , Indrani Paul , Matthew Poremba , Brandon Potter , Kishore Punniyamurthy , Sooraj Puthoor , Steven E. Raasch , Karthik Rao , Greg Rodgers , Marko Scrbak , Mohammad Seyedzadeh , John Slice , Vilas Sridharan , Rene van Oostrum , Eric van Tassell , Abhinav Vishnu , Samuel Wasmundt , Mark Wilkening , Noah Wolfe , Mark Wyse , Adithya Yalavarti , Dmitri Yudanov , Varun Agrawal
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