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.

Sparse Compute and TinyML

Thursday, October 7, 2021 - 9am-3:00pm PDT - ONLINE 

Organized by Prof. David Brooks (Harvard), Prof. Vijay Janapa Reddi (Harvard), and Prof. Daniel Sanchez (MIT). Prof. Brooks, Prof. Sanchez, and Prof. Onur Mutlu are pictured above discussing options for low power compute at the 2013 IAP Workshop hosted at Harvard.

In addition to the organizers, speakers on October 7 include:
  • Prof. Joel Emer (MIT and Nvidia)
  • Dr. Evgeni Gousev (Qualcomm)
  • Prof. Song Han (MIT)
  • Prof. Fredrik Kjolstad (Stanford)
  • Dr. Meng Li (Facebook Reality Lab)

This will be the fourth Cloud Workshop hosted by Harvard and MIT.

Pre-registration is required. Please register here.

We are hopeful the administration will allow this to be an on-campus event at the UC Santa Cruz Silicon Valley Campus in Santa Clara, CA
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. 

Please watch for IAP Newsletters with further updates.

USENIX ATC, July 14-16, 2021

Francisco Romero, Qian Li, Neeraja J. Yadwadkar, and Christos Kozyrakis, Stanford University
Awarded Best Paper!

Matias Bjørling, Western Digital; Abutalib Aghayev, The Pennsylvania State University; Hans Holmberg, Aravind Ramesh, and Damien Le Moal, Western Digital;Gregory R. Ganger and George Amvrosiadis, Carnegie Mellon University

Timothy Roscoe, ETH Zurich

John Ousterhout, Stanford University

Ashraf Mahgoub, Purdue University; Karthick Shankar, Carnegie Mellon University; Subrata Mitra, Adobe Research; Ana Klimovic, ETH Zurich; Somali Chaterji and Saurabh Bagchi, Purdue University
HOT CHIPS, Santa Clara, CA, August 23-24, 2021

Arm Neoverse N2: Arm’s second-generation high performance infrastructure CPUs and system products
Andrea Pellegrini, ARM 

NVIDIA DATA Center Processing Unit (DPU) Architecture
Idan Burstein, NVIDIA 

Aquabolt-XL: Samsung HBM2-PIM with in-memory processing for machine learning accelerators
Jin Hyun Kim, Samsung Electronics

Intel’s Ponte Vecchio GPU Architecture
David Blythe, Intel 

AMD RDNA(TM) 2 Graphics Architecture
Andrew Pomianowski, AMD 

Google’s Video Coding Unit (VCU) Accelerator
Aki Kuusela and Clint Smullen, Google 

Xilinx 7nm Edge Processors
Juanjo Noguera, Xilinx

BurstLink: Techniques for Energy-Efficient Conventional and Virtual Reality Video Display
Jawad Haj-Yahya, Jisung Park, Rahul Bera, Juan Gomez Luna (ETH Zurich); Efraim Rotem (Intel); Taha Shahroodi (TU Delft); Jeremie Kim, Onur Mutlu (ETH Zurich)

AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
Young Geun Kim (Soongsil University); Carole-Jean Wu (Arizona State University)

F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption
Nikola Samardzic, Axel Feldmann, Aleksandar Krastev, Srinivas Devadas (MIT); Ronald Dreslinski, Christopher Peikert (University of Michigan); Daniel Sanchez (MIT)

SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems
Maciej Besta (ETH Zurich); Raghavendra Kanakagiri (IIT Tirupati); Grzegorz Kwasniewski (ETH Zurich); Rachata Ausavarungnirun (King Mongkut's University of Technology North Bangkok); Jakub Beránek (Technical University of Ostrava); Konstantinos Kanellopoulos (ETH Zurich); Kacper Janda (AGH-UST); Zur Vonarburg-Shmaria, Lukas Gianinazzi, Ioana Stefan, Juan Gómez Luna, Jakub Golinowski, Marcin Copik, Lukas Kapp-Schwoerer, Salvatore Di Girolamo, Nils Blach (ETH Zurich); Marek Konieczny (AGH-UST); Onur Mutlu, Torsten Hoefler (ETH Zurich)

Cerebros: Evading the RPC Tax in Datacenters
Arash Pourhabibi, Mark Sutherland (EPFL); Alexandros Daglis (Georgia Institute of Technology); Babak Falsafi (EPFL)

PointAcc: Efficient Point Cloud Accelerator
Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han (MIT)

A Hardware Accelerator for Protocol Buffers
Sagar Karandikar (UC Berkeley); Chris Leary, Chris Kennelly (Google); Jerry Zhao, Dinesh Parimi (UC Berkeley); Borivoje Nikolic (University of California, Berkeley); Krste Asanovic (University of California Berkeley); Parthasarathy Ranganathan (Google)

RecPipe: Co-Designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance
Udit Gupta (Harvard University/FAIR); Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra (Harvard University); Hsien-Hsin Sean Lee (Facebook AI Research); Gu-Yeon Wei (Harvard University); Carole-Jean Wu (Facebook/ASU); David Brooks (Harvard University)

Twig: Profile-Guided BTB Prefetching for Data Center Applications
Tanvir Ahmed Khan, Nathan Brown, Akshitha Sriraman (University of Michigan); Niranjan K Soundararajan (Intel Labs); Rakesh Kumar (Norwegian University of Science and Technology); Joseph Devietti (University of Pennsylvania); Sreenivas Subramoney (Intel Labs); Gilles A Pokam (Intel); Heiner Litz (University of California, Santa Cruz); Baris Kasikci (University of Michigan)

ADAPT: Mitigating Idling Errors in Qubits via Adaptive Dynamical Decoupling
Poulami Das (Georgia Tech); Swamit Tannu (University of Wisconsin-Madison); Siddharth Dangwal (IIT Delhi); Moinuddin Qureshi (Georgia Tech)

Fifer: Practical Acceleration of Irregular Applications on Reconfigurable Architectures
Quan Nguyen, Daniel Sanchez (MIT)
ACM Symposium on Cloud Computing 2021 (SoCC '21), Renton, Washington, November 1-3, 2021

Leveraging Application Classes to Save Power in Highly-Utilized Data Centers
Kostis Kaffes (Stanford University); Dragos Sbirlea, Yiyan Lin, David Lo (Google); Christos Kozyrakis(Stanford University, Google)

High availability in cheap distributed key value storage
Thomas Kim, Daniel L.-K. Wong, Gregory R. Ganger (Carnegie Mellon University); Michael Kaminsky (BrdgAI / Carnegie Mellon University); David G. Andersen (Carnegie Mellon University)

Janus: Latency-Aware Provisioning and Scaling for Prediction Serving Pipelines
Daniel Crankshaw (Microsoft Research); Gur-Eyal Sela (UC Berkeley); Xiangxi Mo (UC Berkeley, Anyscale); Corey Zumar (DataBricks); Ion Stoica, Joseph Gonzalez (UC Berkeley); Alexey Tumanov (Georgia Tech)

Photons: Lambdas on a diet
Vojislav Dukic, Rodrigo Bruno (ETH Zurich); Ankit Singla (ETH Zürich); Gustavo Alonso (ETH Zurich)
ACM SIGPLAN Conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH) with Object-Oriented Programming, Systems, Languages & Applications (OOPSLA), Chicago, Illinois, October 17-22, 2021
December 15-17, 2021
RISC-V SUMMIT, San Francisco, CA, December 6-8, 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.

IAP Advisor José F. Martínez, Cornell, was awarded the Lee Teng-hui Professor of Engineering endowed chair this summer.

José F. Martínez and Hakim Weatherspoon are PI's on a newly awarded Center for Research on Programmable Plant Systems (CROPPS), funded by a five-year, $25 million National Science Foundation (NSF) grant, which aims to grow a new field called digital biology.


ASPLOS 2021 Distinguished Paper Award
Joshua Landgraf, Tiffany Yang, Will Lin, Christopher J. Rossbach, Eric Schkufza

USENIX ATC 2021 Best Paper
Francisco Romero, Qian Li, Neeraja J. Yadwadkar, and Christos Kozyrakis, Stanford University


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

The authors explore off-loading load balancing onto programmable SmartNICs and describe how the load balancing logic could be accelerated using custom accelerators on SmartNICs. This paper was presented at the ACM Asia-Pacific Workshop on Systems (APSys) 2021.


September 29, 2021

August 25, 2021

July 14, 2021

June 28, 2021

June 24, 2011

June 22, 2021

April 21, 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 - “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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