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

Please see the  event site for more info. 

Stanford-UCSC Cloud Workshop, Fall 2018
The Stanford-UCSC Workshop 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
The   MIT Cloud Workshop was held 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.
 
The speakers and presentation titles are listed below (alphabetical order). The agenda, abstracts, and bios are posted on the agenda page . 

  • 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  event page.

RECENT PAPERS and UPCOMING EVENTS 

23rd ACM SIGPLAN SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING , VIENNA, AUSTRIA, FEBRUARY 24-28, 2018.

Making Pull-based Graph Processing Performant , Samuel Grossman, Heiner Litz, Christos Kozyrakis

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
 
Kpart: A Hybrid Cache Partitioning-Sharing Technique for Commodity Multicores , Nosayba El-Sayed, Anurag Mukkara, Po-An Tsai, Harshad Kasture, Xiaosong Ma, Daniel Sanchez
 
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  (ASPLOS), 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)

Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability  Maciej Besta, Syed Minhaj Hassan, Sudhakar Yalamanchili, Rachata Ausavarungnirun, Onur Mutlu, Torsten Hoefler

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

SPECTR: Formal Supervisory Control and Coordination for Many-core Systems Resource Management Amir M. Rahmani, Bryan Donyanavard, Tiago Mück, Kasra Moazzemi, Axel Jantsch, Onur Mutlu, and Nikil Dutt

LTRF: Enabling High-Capacity Register Files for GPUs via Hardware/Software Cooperative Register Prefetching Mohammad Sadrosadati, Amirhossein Mirhosseini, Seyed Borna Ehsani, Hamid Sarbazi-Azad, Mario Drumond, Babak Falsafi, Rachata Ausavarungnirun, and Onur Mutlu

15th USENIX SYMPOSIUM ON NETWORKED SYSTEMS DESIGN AND IMPLEMENTATION (NSDI '18), RENTON, WA, USA, APRIL 9–11, 2018

Approximating Fair Queueing on Reconfigurable Switches Naveen Kr. Sharma and Ming Liu,  University of Washington;  Kishore Atreya,  Cavium;  Arvind Krishnamurthy,  University of Washington

Shinae Woo,  UC Berkeley;  Justine Sherry,  CMU;  Sangjin Han,  UC Berkeley;  Sue Moon,  KAIST;  Sylvia Ratnasamy,  UC Berkeley;  Scott Shenker,  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,  Google, Inc
 
Praveen Kumar and Yang Yuan,  Cornell University;  Chris Yu,  Carnegie Mellon University;  Nate Foster and Robert Kleinberg,  Cornell University;  Petr Lapukhov and Chiun Lin Lim,  Facebook;  Robert Soulé,  Università della Svizzera italiana

SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows Moritz Hoffmann, Andrea Lattuada, John Liagouris, Vasiliki Kalavri, Desislava Dimitrova, Sebastian Wicki, Zaheer Chothia, and Timothy Roscoe, ETH Zurich

NetChain:Scale-FreeSub-RTTCoordination (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

LHD: Improving Cache Hit Rate by Maximizing Hit Density Nathan Beckmann, Carnegie Mellon University; Haoxian Chen, University of Pennsylvania; Asaf Cidon, Stanford University/Barracuda Network

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

Turing Lecture: A New Golden Age for Computer Architecture John L. Hennessy and David A. Patterson  

Keynote: A Return to (Limited) Explicit Dataflow Execution , Doug Burger, Microsoft

Keynote: Applied Machine Learning at Facebook Scale: Separating Opportunity from Hype , Kim Hazelwood, Facebook

Keynote: Designing Computer Systems for Software 2.0 , Kunle Olukotun, Stanford
 
Constructing a Weak Memory Model Sizhuo Zhang (MIT), Muralidaran Vijayaraghavan (MIT), Andrew Wright (MIT), Mehdi Alipour (Uppsala), Arvind (MIT) 

ACCORD: Enabling Associativity for Gigascale DRAM Caches by Coordinating Way-Install and Way-Prediction Vinson Young (Georgia Tech), Chiachen Chou (Google), Aamer Jaleel (NVIDIA), Moinuddin Qureshi (Georgia Tech)

A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap with Expressive Memory Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons and Onur Mutlu

The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons and Onur Mutlu

FLIN: Enabling Fairness and Enhancing Performance in Modern NVMe Solid State Drives Arash Tavakkol, Mohammad Sadrosadati, Saugata Ghose, Jeremie Kim, Yixin Luo, Yaohua Wang, Nika Mansouri Ghiasi, Lois Orosa, Juan G. Luna and Onur Mutlu

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 Asanović

A Hardware Accelerator for Tracing Garbage Collection , Martin Maas, Krste Asanović, and John Kubiatowicz

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)

Query-based Workload Forecasting for Self-Driving Database Management Systems Lin Ma (Carnegie Mellon University); Dana Van Aken (Carnegie Mellon University); Ahmed Hefny (Carnegie Mellon University); Gustavo Mezerhane (Carnegie Mellon University); Andrew Pavlo (Carnegie Mellon University); Geoffrey J. Gordon (Carnegie Mellon 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

Keynote: Inherent Trade-Offs in Algorithmic Fairness Jon Kleinberg, Cornell

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

Improving 3D NAND Flash Memory Lifetime by Tolerating Early Retention Loss and Process Variation   Yixin Luo, Saugata Ghose, Yu Cai, Erich F. Haratsch, and Onur Mutlu


55th DESIGN AUTOMATION CONFERENCE (DAC) , SAN FRANCISCO, CA, USA, JUNE 24-28, 2018.


Zwift: A Programming Framework for High Performance Text Analytics on Compressed Data Feng Zhang, Jidong Zhai, Xipeng Shen, Onur Mutlu, and Wenguang Chen

Co-Design of Neural Nets and Neural Net Accelerators for Embedded Vision Applications ,  Alon Amid, Amir Gholami, Kiseok Kwon, Bichen Wu, Krste Asanović, and Kurt Keutzer

USENIX ANNUAL TECHNICAL CONFERENCE (ATC), BOSTON, MA, JULY 11-13, 2018.

Understanding Ephemeral Storage for Serverless Analytics   Ana Klimovic, Yawen Wang, Christos Kozyrakis, Patrick Stuedi, Jonas Pfefferle, Animesh Trivedi 

Selecta: Heterogeneous Cloud Storage Configuration for Data Analytics  Ana Klimovic, Heiner Litz, Christos Kozyrakis 
Tributary: spot-dancing for elastic services with latency SLOs Aaron Harlap and Andrew Chung, Carnegie Mellon University; Alexey Tumanov, UC Berkeley; Gregory R. Ganger and Phillip B. Gibbons, Carnegie Mellon University

Troubleshooting Transiently-Recurring Errors in Production Systems with Blame-Proportional Logging Liang Luo, University of Washington; Suman Nath, Lenin Ravindranath Sivalingam, and Madan Musuvathi, Microsoft Research; Luis Ceze, University of Washington

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

Revisiting Network Support for RDMA R. Mittal, A. Shpiner, A. Panda, E. Zahavi, A. Krishnamurthy, S. Ratnasamy, S. Shenker 

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)

AWStream: Adaptive Wide-Area Streaming Analytics Ben Zhang (Berkeley, USA), Xin Jin (JHU, USA), Sylvia Ratnasamy, John Wawrzynek, Edward A. Lee (Berkeley, 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)

BLOGS

A Few Thoughts on Distributed Computing Prof. Ken Birman hosts a prolific blog on distributed systems.
 
What is a Self-Driving Database Management System? Prof. Andy Pavlo offers a discussion of what it means to have a self-driving database management system and whether it is even possible to build one.
 
Hacking Distributed is a blog hosted by Pr of. Emin Gün Sirer for "everyday techies building real systems people use, and their still-with-it-and-technical CTOs".

AWARDS

T 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

NEWS ITEMS

July 9, 2018

June 28, 2018

May 23, 2018
 
May 23, 2018 
 
March 19, 2018


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Please feel free to contact us for more info on these items.
 
Best,
 
Jim Ballingall
Executive Director
Industry-Academia Partnership (IAP) 
jim@industry-academia.org
cel: 408-212-1035
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