The Best Poster Award at the MIT Cloud Workshop is accepted by Mark Jeffrey, a PhD student in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Mark’s fellow student collaborators flank him with their advisor Prof. Daniel Sanchez (far right of photo). Dr. Rajiv Dahwan, Samsung is at far left in the photo.
Greetings! Welcome to the IAP Newsletter with items from Q1 and Q2 2018 as well as upcoming in Q3 2018.
Here is what is happening...
Flash Memory Summit 2018
August 7-10, 2018
For the fourth year in a row, the IAP will host a booth for student posters at the Flash Memory Summit, August 7-10, in the Santa Clara Convention Center. Full-time students may
register here for free access
using the priority code EDULOC18. Visit us in Booth 935 near the FMS Theater. We will also co-host the Academic Table at the Reception on Tuesday night from 7-8:30pm with our colleague Dr. Saugata Ghose of CMU.
Look for the following Keynotes by IAP Industry Members:
• “Creating the Next Generation of Data-Driven Infrastructure”, Tuesday, August 7th, 12:10-12:40pm, Phil Bullinger, Sr VP/GM of Data Center Systems, Western Digital
• “Adaptable Storage Acceleration Platforms for Exabyte-scale Data Centers”, Wednesday, August 8th, 1:00-1:30pp, Manish Muthal, VP of Datacenter Marketing, Xilinx
• “Optimizing Storage Solutions for Data Center Applications”, Wednesday, August 8th, 1:30-2:00pm, Nigel Alvares, VP of SSD & Data Center Storage Solutions, Marvell
• “Applications Need More Than IOPS and Latency”, Thursday, August 9th, 12:40-1:10pm, Eric Zhao, SSD General Manager, Huawei Technologies
Stanford-UCSC Cloud Workshop, Fall 2018
on the Future of Cloud Computing is being co-organized by Prof.
Christos Kozyrakis (Stanford) and
Prof. Heiner Litz (UCSC)
It will be conducted in the Fall of 2018 on the
UC Santa Cruz
campus (Please check our website later for date, room, and registration info).
Expect a full day of talks and posters from professors, students and experts in industry.
MIT Cloud Workshop, April 20, 2018
MIT Cloud Workshop
held on Friday April 20, 2017 on the MIT campus. There were several technical presentations during the day by professors, students and industry scientists and engineers.
Companies attending included
AKIMAI, CAVIUM, CISCO, DELL/EMC, INTEL, LIBERTY MUTUAL INSURANCE, NVIDIA, SAMSUNG, TWO SIGMA, VMWARE and XILINX. Boston University, Cornell University, ETH Zurich, Harvard, MIT and
Northeastern University were also represented on the agenda.
Research posters were presented by grad students from BU and MIT.
- Dr. George Apostol, Samsung, “Data Center Demands for Autonomous Vehicle Development”
- Elliot Delaye, Xilinx, “Integrating AI into Accelerated Cloud Applications”
- Prof. Christina Delimitrou, Cornell University, “Using Big Data to Navigate the Increasing Complexity of the Cloud”
- Prof. Joel Emer, MIT and Nvidia, "Dissecting Spectre and Meltdown"
- Dr. Sam Fineberg, Akimai, “Cloud Architectural Concepts”
- Prof. Nate Foster, Cornell University, “Verifying Network Data Planes
- Prof. Song Han, MIT, “Bandwidth-Efficient Deep Learning: Compression, Acceleration and Meta-learning”
- Fredrik Kjolstad, MIT, “The Tensor Algebra Compiler”
- Prof. Tim Kraska, MIT, “The End of Slow Networks: It's Time for a Redesign”
- Prof. Orran Krieger, Boston University, Peter Desnoyers, Northeastern University, and Scott Yockel, Harvard, “Research in an Open Cloud Exchange”
- Matt Perron, MIT, “Choosing and Configuring Your Analytics Database in the Cloud”
- Prof. Mothy Roscoe, ETH Zurich, “Enzian: A Research Computer”
- Prof. Daniel Sanchez, MIT, “Making Parallelism Pervasive with the Swarm Architecture”
- Dr. Jason Zebchuk, Cavium, “ThunderX2 for Cloud and HPC Applications”
Please see photos and additional info on the
RECENT PAPERS and UPCOMING EVENTS
23rd ACM SIGPLAN SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING
VIENNA, AUSTRIA, FEBRUARY 24-28, 2018.
24th INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE (HPCA), VIENNA AUSTRIA, FEBRUARY 24-28, 2018
Gururaj Saileshwar, Prashant Nair (Georgia Institute of Technology), Prakash Ramrakhyani, Wendy Elsasser (ARM Research), Moinuddin Qureshi (Georgia Institute of Technology)
Grant Ayers, Jung Ho Ahn, Christos Kozyrakis, Parthasarathy Ranganathan
GraphP: Reducing Communication of PIM-based Graph Processing with Efficient Data Partition
Mingxing Zhang, Youwei Zhuo, Chao Wang, Mingyu Gao, Yongwei Wu, Kang Chen, Christos Kozyrakis, Xuehai Qian
Accelerating Duplicate Marking In The Cloud
, Lisa Wu, Frank Nothaft, Brendan Sweeney, David Bruns-Smith, Sagar Karandikar, Johnny Le, Howard Mao, Krste Asanović, David Patterson and Anthony Joseph,
23rd INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMING LANGUAGES AND OPERATING SYSTEMS
WILLIAMSBURG, VA, USA, MARCH 2018.
Minnow: Lightweight Offload Engines for Worklist Management and Worklist-Directed Prefetching Dan Zhang (The University of Texas at Austin); Xiaoyu Ma (Google); Michael Thomson (The University of Texas at Austin); Derek Chiou (Microsoft)
Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks
Amirali Boroumand, Saugata Ghose, Youngsok Kim, Rachata Ausavarungnirun, Eric Shiu, Rahul Thakur, Daehyun Kim, Aki Kuusela, Allan Knies, Parthasarathy Ranganathan, and Onur Mutlu
15th USENIX SYMPOSIUM ON NETWORKED SYSTEMS DESIGN AND IMPLEMENTATION (NSDI '18), RENTON, WA, USA, APRIL 9–11, 2018
UC Berkeley, ICSI
Michael Dalton, David Schultz, Jacob Adriaens, Ahsan Arefin, Anshuman Gupta, Brian Fahs, Dima Rubinstein, Enrique Cauich Zermeno, Erik Rubow, James Alexander Docauer, Jesse Alpert, Jing Ai, Jon Olson, Kevin DeCabooter, Marc de Kruijf, Nan Hua, Nathan Lewis, Nikhil Kasinadhuni, Riccardo Crepaldi, Srinivas Krishnan, Subbaiah Venkata, Yossi Richter, Uday Naik, and Amin Vahdat,
Praveen Kumar and Yang Yuan,
Carnegie Mellon University;
Nate Foster and Robert Kleinberg,
Petr Lapukhov and Chiun Lin Lim,
Università della Svizzera italiana
(Best Paper Award)
Xin Jin, Johns Hopkins University; Xiaozhou Li, Barefoot Networks; Haoyu Zhang, Princeton University; Nate Foster, Cornell University; Jeongkeun Lee, Barefoot Networks; Robert Soulé, Università della Svizzera Italiana; Changhoon Kim, Barefoot Networks; Ion Stoica, UC Berkeley
Q. Zhang, G. Yu, C. Guo, Y. Dang, N. Swanson, X. Yang, R. Yao, M. Chintalapati, A. Krishnamurthy, T. Anderson
45th INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA), LOS ANGELES, CA, USA, JUNE 2-6, 2018
A Return to (Limited) Explicit Dataflow Execution
, Doug Burger, Microsoft
Applied Machine Learning at Facebook Scale: Separating Opportunity from Hype
, Kim Hazelwood, Facebook
FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud
, Sagar Karandikar, Howard Mao, Donggyu Kim, David Biancolin, Alon Amid, Dayeol Lee, Nathan Pemberton, Emmanuel Amaro, Colin Schmidt, Aditya Chopra, Qijing Huang, Kyle Kovacs, Borivoje Nikolić, Randy Katz, Jonathan Bachrach, and Krste
SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, HOUSTON TX, JUNE 10-15, 2018
Fonduer: Knowledge Base Construction from Richly Formatted Data
Sen Wu (Stanford University); Luke Hsiao (Stanford University); Xiao Cheng (Stanford University); Braden Hancock (Stanford University); Theodoros Rekatsinas (University of Wisconsin-Madison); Philip Levis (Stanford University); Christopher Ré (Stanford University)
The Case for Learned Index Structures Tim Kraska (Massachusetts Institute of Technology ); Alex Beutel (Google, Inc. ); Ed H. Chi (Google, Inc. ); Jeffrey Dean (Google, Inc. ); Neoklis Polyzotis (Google, Inc. )
Sketching Linear Classifiers over Data Streams
Kai Sheng Tai (Stanford University); Vatsal Sharan (Stanford University); Peter Bailis (Stanford University); Gregory Valiant (Stanford University)
SuRF: Practical Range Query Filtering with Fast Succinct Tries
(Best Paper Award)
Huanchen Zhang (Carnegie Mellon University); Hyeontaek Lim (Carnegie Mellon University); Viktor Leis (Technische Universität München); David G. Andersen (Carnegie Mellon University); Michael Kaminsky (Intel Labs); Kimberly Keeton (Hewlett Packard Labs); Andrew Pavlo (Carnegie Mellon University)
ACM INTERNATIONAL CONFERENCE ON MEASUREMENT AND MODELING OF COMPUTER SYSTEMS (SIGMETRICS), IRVINE, CA, USA, JUNE 18-22, 2018
Inherent Trade-Offs in Algorithmic Fairness
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study
Saugata Ghose, A. Giray Yaglikci, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, and Onur Mutlu
55th DESIGN AUTOMATION CONFERENCE (DAC)
, SAN FRANCISCO, CA, USA, JUNE 24-28, 2018.
USENIX ANNUAL TECHNICAL CONFERENCE (ATC), BOSTON, MA, JULY 11-13, 2018.
Litz: Elastic Framework for High-Performance Distributed Machine Learning
Aurick Qiao, Petuum, Inc. and Carnegie Mellon University; Abutalib Aghayev, Carnegie Mellon University; Weiren Yu, Petuum, Inc. and Beihang University; Haoyang Chen and Qirong Ho, Petuum, Inc.; Garth A. Gibson, Carnegie Mellon University and Vector Institute; Eric P. Xing, Petuum, Inc. and Carnegie Mellon University
HOT CHIPS 30: A SYMPOSIUM ON HIGH PERFORMANCE CHIPS, CUPERTINO, CA, AUGUST 19-21, 2018
BROOM: An Open-Source Out-of-Order RISC-V Processor with Resilient Low-Voltage Operation in 28nm CMOS
Christopher Celio, Pi-Feng Chiu, Krste Asanović, David Patterson, and Borivoje Nikolić
SMIV: A 16nm SoC with Efficient and Flexible DNN Acceleration for Intelligent IoT Devices, Paul Whatmough (ARM), Sae Kyu Lee (IBM), Sam Xi, Udit Gupta, Lillian Pentecost, Marco Donato, Hsea-Ching Hseuh, David Brooks and Gu-Yeon Wei (Harvard University)
Xilinx Project Everest: ‘HW/SW Programmable Engine’, Juanjo Noguera, Chris Dick, Vinod Kathail, Gaurav Singh, Kees Vissers, and Ralph Wittig
The Evolution of Deep Learning Accelerators Upon the Evolution of Deep Learning Algorithms, Song Yao (DeePhi Tech), Shuang Liang (Tsinghua University), Junbin Wang, Zhongmin Chen, Shaoxia Fang, Lingzhi Sui, Qian Yu, Dongliang Xie, Xiaoming Sun, Song Han (MIT), Yi Shan (DeePhi Tech), and Yu Wang (Tsinghua University)
SIGCOMM 2018, BUDAPEST, HUNGARY, AUGUST 20-25, 2018
Calin Cascaval (Barefoot, USA), Nate Foster (Cornell, USA), William Hallahan (Yale, USA), Jeongkeun Lee, Jed Liu (Barefoot, USA), Nick McKeown (Stanford, USA), Cole Schlesinger, Milad Sharif (Barefoot, USA), Robert Soulé (USI, Switzerland), Han Wang (Barefoot, USA)
Arpit Gupta, Rob Harrison (Princeton, USA), Marco Canini (KAUST, KSA), Nick Feamster, Jennifer Rexford (Princeton, USA), Walter Willinger (NIKSUN, USA)
Restructuring Endpoint Congestion Control
Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Prateesh Goyal, Srinivas Narayan (MIT, USA), Radhika Mittal (Berkeley, USA), Mohammad Alizadeh, Hari Balakrishnan (MIT, USA)
is a blog hosted by Pr
Emin Gün Sirer for "everyday techies building real systems people use, and their still-with-it-and-technical CTOs".
est of Time Award 2018
Dynamically Exploiting Narrow Width Operands to Improve Processor Power and Performance
by David Brooks and Margaret Martonosi, published at HPCA 1999
July 9, 2018
June 28, 2018
May 23, 2018
May 23, 2018
March 19, 2018
Please feel free to contact us for more info on these items.
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