Greetings! Welcome to the IAP Newsletter with recent and upcoming research publications, news and events. Research includes applications and infrastructure for AI and machine learning, hardware acceleration, operating systems, networking, security, storage and data management - all in the context of distributed systems.

Date: Wednesday, May 11, 2022 - 8:30am-4:00pm PDT

Venue: Stanford Campus, Tresidder Memorial Union, Lagunita Drive, Stanford, CA

Speakers on May 11 include (alphabetical by last name): 
  • Dr. Niket Agarwal, Meta, Principal Software Engineer
  • Prof. Peter Alvaro, UCSC
  • Dr. Ulf Hanebutte, Marvell, Performance Architect
  • Prof. Heiner Litz, UCSC 
  • ​Dr. Harry Liu, Alibaba, Director of Network R&D
  • Dr. Richard New, Western Digital, VP of Research
  • Dr. Gilles Pokam, Intel, Principal Engineer
  • Prof. Andrew Quinn, UCSC
  • Prof. Priyanka Raina, Stanford
  • Dr. Partha Ranganathan, Google, VP and Engineering Fellow
  • Prof. Caroline Trippel, Stanford

Workshop co-organizers, Prof. Caroline Trippel (Stanford) and Prof. Heiner Litz (UC Santa Cruz)
Join us at Stanford to hear from faculty and students from interdisciplinary research groups at Berkeley, Stanford and UCSC working on AI and machine learning, hardware acceleration, operating systems, networking, security, storage and data management - all in the context of distributed systems.

Poster Session:The student poster session during the lunch hour is preceded by the Lightning Talk session with top graduate students describing their cloud related research projects and findings.  Students are encouraged to participate and compete for the $300 cash award for Best Poster.  

Below, attendees mingle, nosh and network during the Poster Session at the 2016 Stanford Workshop in Tresidder Memorial Union.
Dr. Amin Vahdat, Google Engineering Fellow and VP, presents “Cloud 3.0 and Software Defined Networking” to the audience during the morning technical session of the 2016 Stanford Workshop in Tresidder Memorial Union.

POPL 2022, 49th ACM Symposium on Principles of Programming Languages, January 16-22, 2022, Philadelphia, PA, USA

Devon Loehr and David Walker, Princeton University

Matthias Eichholz, TU Darmstadt, Eric Campbell, Cornell University, Matthias Krebs, TU Darmstadt, Nate Foster, Cornell University, Mira Mezini, TU Darmstadt

FAST '22 - The 20th USENIX Conference on File and Storage Technologies - February 22-24, 2022, Santa Clara, CA, USA

Jisung Park, ETH Zürich; Jeonggyun Kim, Yeseong Kim, and Sungjin Lee, DGIST; Onur Mutlu, ETH Zürich

Ricardo Macedo, INESC TEC & U. Minho; Yusuke Tanimura and Jason Haga, National Institute of Advanced Industrial Science and Technology (AIST); Vijay Chidambaram, The University of Texas at Austin and VMware Research; José Pereira and João Paulo, INESC TEC & U. Minho

ASPLOS 2022 - The 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Feb 28-March 4, 2022, Lausanne, Switzerland

Heiner Litz (University of California at Santa Cruz), Grant Ayers (Google), Parthasarathy Ranganathan (Google)

Peter W. Deutsch (Massachusetts Institute of Technology), Yuheng Yang (Massachusetts Institute of Technology), Thomas Bourgeat (Massachusetts Institute of Technology), Jules Drean (Massachusetts Institute of Technology), Joel S. Emer (Massachusetts Institute of Technology), (NVIDIA), Mengjia Yan (Massachusetts Institute of Technology)

Geet Sethi (Stanford University), (Meta), Bilge Acun (Meta), Niket Agarwal (Meta), Christos Kozyrakis (Stanford University), Caroline Trippel (Stanford University), Carole-Jean Wu (Meta)

Zhen Zheng (Alibaba Group), Xuanda Yang (Alibaba Group), Pengzhan Zhao (Alibaba Group), Guoping Long (Alibaba Group), Kai Zhu (Alibaba Group), Feiwen Zhu (Alibaba Group), Wenyi Zhao (Alibaba Group), Xiaoyong Liu (Alibaba Group), Jun Yang (Alibaba), Jidong Zhai (Tsinghua University), Shuaiwen Leon Song (University of Sydney & University of Washington), Wei Lin (Alibaba Group)

David Cock (ETH Zurich), Abishek Ramdas (ETH Zurich), Daniel Schwyn (ETH Zurich), Michael Giardino (ETH Zurich), Adam Turowski (ETH Zurich), Zhenhao He (ETH Zurich), Nora Hossle (ETH Zurich), Dario Korolija (ETH Zurich), Melissa Licciardello (ETH Zurich), Kristina Martsenko (ETH Zurich), Reto Achermann (University of British Columbia), Gustavo Alonso (ETH Zurich), Timothy Roscoe (ETH Zurich)

Swamit Tannu (University of Wisconsin-Madison), Poulami Das (Georgia Institute of Technology), Ramin Ayanzadeh (Georgia Institute of Technology), Moinuddin Qureshi (Georgia Institute of Technology)

Yawen Wang (Stanford University), Daniel Crankshaw (Microsoft Research), Neeraja J. Yadwadkar (University of Texas at Austin), Daniel Berger (Microsoft Research), Christos Kozyrakis (Stanford University), Ricardo Bianchini (Microsoft Research)

Nika Mansouri Ghiasi (ETH Zurich), Jisung Park (ETH Zurich), Harun Mustafa (ETH Zurich), Jeremie Kim (ETH Zurich), Ataberk Olgun (ETH Zurich), Arvid Gollwitzer (ETH Zurich), Damla Senol Cali (Bionano Genomics), Can Firtina (ETH Zurich), Haiyu Mao (ETH Zurich), Nour Almadhoun Alserr (ETH Zurich), Rachata Ausavarungnirun (King Mongkut’s University of Technology North Bangkok), Nandita Vijaykumar (University of Toronto), Mohammed Alser (ETH Zurich), Onur Mutlu (ETH Zurich)

Mark Zhao (Stanford University), Mingyu Gao (Tsinghua University), Christos Kozyrakis (Stanford University)

Tushar Swamy (Stanford University), Alexander Rucker (Stanford University), Muhammad Shahbaz (Purdue University), Ishan Gaur (Stanford University), Kunle Olukotun (Stanford University)

tinyML Summit 2022 & tinyML Research Symposium 2022, March 28-30, 2022, Burlingame, CA, USA

Next-Generation Deep-Learning Accelerators: From Hardware to System
Sophia Shao, University of California, Berkeley

Compiling TinyML Models with microTVM
Andrew Reush, OctoML

Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images
Qianyun Lu and Boris Murmann, Stanford University

Delta Keyword Transformer: Bringing Transformers to the Edge through Dynamically Pruned Multi-Head Self-Attention
Zuzana Jelcicová, Technical University of Denmark; Demant A/S
Marian Verhelst, KU Leuven

HPCA-28 - The 28th IEEE International Symposium on High-Performance Computer Architecture - April 2-6, 2022 in Seoul, South Korea

Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference
Brandon Reagen (NYU); Woo-Seok Choi (Seoul National University); Yeongil Ko (Harvard); Vincent T. Lee, Hsien-Hsin S. Lee (Facebook); Gu-Yeon Wei, David Brooks (Harvard)

SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures
Christina Giannoula (National Technical University of Athens / ETH Zürich); Nandita Vijaykumar (University of Toronto / ETH Zürich); Nikela Papadopoulou, Vasileios Karakostas (National Technical University of Athens); Ivan Fernandez (University of Malaga / ETH Zürich); Juan Gómez-Luna, Lois Orosa (ETH Zürich); Nectarios Koziris, Georgios Goumas (National Technical University of Athens); Onur Mutlu (ETH Zürich)

CAPE: A Content-Addressable Processing Engine
Helena Caminal, Kailin Yang (Cornell University); Srivatsa Srinivasa, Akshay Krishna Ramanathan (Pennsylvania State University); Khalid Al-Hawaj, Tianshu Wu (Cornell University); Vijaykrishnan Narayanan (The Pennsylvania State University); Christopher Batten, José F. Martínez (Cornell University)

Chasing Carbon: The Elusive Environmental Footprint of Computing
Udit Gupta (Harvard University / Facebook); Young Geun Kim (Arizona State University); Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee (Facebook); Gu-Yeon Wei (Harvard University); David Brooks (Harvard University / Facebook); Carole-Jean Wu (Facebook / Arizona State University)

NSDI '22 - 19th USENIX Symposium on Networked Systems Design and Implementation - APRIL 4-6, 2022, Renton WA, USA

Sarah McClure and Amy Ousterhout, UC Berkeley; Scott Shenker, UC Berkeley, ICSI; Sylvia Ratnasamy, UC Berkeley

Mary Hogan, Princeton University; Shir Landau-Feibish, The Open University of Israel; Mina Tahmasbi Arashloo, Cornell University; Jennifer Rexford and David Walker, Princeton University

Hun Namkung, Carnegie Mellon University; Zaoxing Liu, Boston University; Daehyeok Kim, Carnegie Mellon University and Microsoft; Vyas Sekar and Peter Steenkiste, Carnegie Mellon University

Romil Bhardwaj, Microsoft and UC Berkeley; Zhengxu Xia, University of Chicago; Ganesh Ananthanarayanan, Microsoft; Junchen Jiang, University of Chicago; Yuanchao Shu and Nikolaos Karianakis, Microsoft; Kevin Hsieh, Microsoft Research; Paramvir Bahl, Microsoft; Ion Stoica, UC Berkeley

Waleed Reda, Université catholique de Louvain and KTH Royal Institute of Technology; Marco Canini, KAUST; Dejan Kostić, KTH Royal Institute of Technology; Simon Peter, UT Austin

Prateesh Goyal, MIT CSAIL; Preey Shah, IIT Bombay; Kevin Zhao, University of Washington; Georgios Nikolaidis, Intel, Barefoot Switch Division; Mohammad Alizadeh, MIT CSAIL; Thomas E. Anderson, University of Washington

Jiarong Xing and Kuo-Feng Hsu, Rice University; Matty Kadosh, Alan Lo, and Yonatan Piasetzky, Nvidia; Arvind Krishnamurthy, University of Washington; Ang Chen, Rice University

ISCA 49 - The International Symposium on Computer Architecture 
June 11-15, 2022, New York City, USA
Program unavailable at time of print.

HIPEAC 2022 - European Network on High Performance and Embedded Architecture and Compilation - June 20-22, 2022, Budapest, Hungary
Program unavailable at time of print.

by Ritwik Gupta, Colorado Reed, Anja Rohrbach, and Trevor Darrell, Berkeley (BAIR Blog)     
March 21, 2022

by Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, and Matei Zaharia, Stanford (DAWN Blog)
January 18, 2022

by Andy Pavlo, CMU
December 28, 2021
Hacking Distributed is a blog hosted by Prof. Emin Gün Sirer for "everyday techies building real systems people use, and their still-with-it-and-technical CTOs".


2020 ACM Fellows. The ACM Fellows program recognizes the top 1% of ACM Members for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community. Fellows are nominated by their peers, with nominations reviewed by a distinguished selection committee.


Enzian is a research computer designed by ETH Zurich for computer systems software research, rather than any particular commercial workload. An Enzian node has a big server-class Marvell ThunderX CPU closely coupled in cache coherence to a large Xilinx FPGA, with ample main memory and network bandwidth on both sides. The team has 9 (nine!) working Enzian machines in Zurich networked and in use by researchers around the world.

For more info, please see the paper at ASPLOS 2022: Enzian: An Open, General, CPU/FPGA Platform for Systems Software Research as well as the demo at a recent IAP Workshop.

Off-loading Load Balancers onto SmartNICs Tianyi Cui, Kaiyuan Zhang, (University of Washington), Wei Zhang (Microsoft), Arvind Krishnamurthy (University of Washington).

The team explores off-loading load balancing onto programmable SmartNICs. To fully leverage the cost and energy efficiency of SmartNICs, the design proposes three key ideas. First, it is argued that a full and complex TCP/IP stack is not required even for L7 load balancers and instead propose a design that uses a lightweight forwarding agent on the SmartNIC. Second, the team develops connection management data structures that provide a high degree of concurrency with minimal synchronization when executed on multi-core SmartNICs. Finally, the team describes how the load balancing logic could be accelerated using custom accelerators on SmartNICs such as Marvell Liquid IO.

​This paper was presented at the ACM Asia-Pacific Workshop on Systems (APSys) 2021.


April 6, 2022

March 4, 2022

February 3, 2022

January 7, 2022

January 5, 2022

November 15, 2021

November 1, 2021

September 29, 2021

IAP Workshop Testimonials
Professor Christos Kozyrakis, Stanford - “As a starting point, I think of these IAP workshops as ‘Hot Chips meets ISCA’, i.e., an intersection of industry’s newest solutions in hardware (Hot Chips) with academic research in computer architecture (ISCA); but more so, these workshops additionally cover new subsystems and applications, and in a smaller venue where it is easy to discuss ideas and cross-cutting approaches with colleagues.” 
Professor Heiner Litz, UC Santa Cruz - "The IAP workshops represent extremely valuable events for all attendees including industry members, students and faculty. On my side, multiple project collaborations and student internships have evolved from these meetings leading to a win-win-win situation for all participants.” 

Ana Klimovic, PhD student, Stanford (currently on the faculty at ETH Zurich) - “I have attended three IAP workshops and I am consistently impressed by the quality of the talks and the breadth of the topics covered. These workshops bring top-tier industry and academia together to discuss cutting-edge research challenges. It is a great opportunity to exchange ideas and get inspiration for new research opportunities." 
Nathan Pemberton, PhD student, UC Berkeley - "IAP workshops provide a valuable chance to explore emerging research topics with a focused group of participants, and without all the time/effort of a full-scale conference. Instead of rushing from talk to talk, you can slow down and dive deep into a few topics with experts in the field." 

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Jim Ballingall
Executive Director
Industry-Academia Partnership (IAP)
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Stanford Prof. Christos Kozyrakis (left) and UCSC Prof. Heiner Litz welcome attendees at the 8:30am kick-off of the 2018 Stanford/UCSC Workshop at the UCSC Silicon Valley campus.