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Field-Programmable Gate Arrays (FPGAs) are more energy efficient and cost effective than CPUs for a wide variety of datacenter applications.
“Archipelago: A Scalable Low-Latency Serverless Platform”, 2019
Arjun Singhvi, Kevin Houck, Arjun Balasubramanian, Mohammed Shaikh, Shivaram Venkataraman and Aditya Akella · 1911
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“Competitive Randomized Algorithms for Nonuniform Problems”
Anna. Karlin, Mark. Manasse, Lyle. McGeoch and Susan Owicki · 1994
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“On the Self-Similar Nature of Ethernet Traffic (Extended Version)”
Will. Leland, Murad. Taqqu, Walter Willinger and Daniel. Wilson · 1994
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“Long Short-Term Memory”
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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“Statistical Prediction of Task Execution Times Through Analytic Benchmarking for Scheduling in a Heterogeneous Environment”
Michael. Iverson, Fusun Ozguner and Lee. Potter · 1999
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“Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic”, 2002
Mengzhi Wang, Tara Madhyastha, Ngai Chan, Spiros Papadimitriou and Christos Faloutsos · 2002
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“Minimizing Data Center SLA Violations and Power Consumption via Hybrid Resource Provisioning”
Anshul Gandhi, Yuan Chen, Daniel Gmach, Martin Arlitt and Manish Marwah · 2011
Earlier work this paper cites.
“Using OpenCL to Evaluate the Efficiency of CPUs, GPUs, and FPGAs for Information Filtering”, 2012
Doris Chen and Deshanand Singh · 2012
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“AutoScale: Dynamic, Robust Capacity Management for Multi-tier Data Centers”
Anshul Gandhi, Mor Harchol-Balter, Ram Raghunathan and Michael Kozuch · 2012
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“Fractal Video Compression in OpenCL: An Evaluation of CPUs, GPUs, and FPGAs as Acceleration Platforms”, 2013
Doris Chen and Deshanand Singh · 2013
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“Agile: Elastic Distributed Resource Scaling for Infrastructure-as-a-Service”, 2013
Hiep Nguyen, Zhiming Shen, Xiaohui Gu, Sethuraman Subbiah and John Wilkes · 2013
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“FPGAs in the Cloud: Booting Virtualized Hardware Accelerators with OpenStack”, 2014
Stuart Byma, J. Steffan, Hadi Bannazadeh, Alberto Garcia and Paul Chow · 2014
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“Run-Time Power Gating in Hybrid ARM-FPGA Devices”, 2014
Mohammad Hosseinabady and Jose Nunez-Yanez · 2014
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“An FPGA-based In-line Accelerator for Memcached”
Maysam Lavasani, Hari Angepat and Derek Chiou · 2014
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“A Reconfigurable Fabric for Accelerating Large-scale Datacenter Services”, 2014
Andrew Putnam, Adrian Caulfield, Eric Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Gopi Gopal, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Xiao and Doug Burger · 2014
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“Rubik: Fast Analytical Power Management for Latency-critical Systems”
Harshad Kasture, Davide Bartolini, Nathan Beckmann and Daniel Sanchez · 2015
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“Realistic Request Arrival Generation in Storage Benchmarks”, 2015
Rekha Pitchumani, Shayna Frank and Ethan. Miller · 2015
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“Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and Performance/Cost”, 2015
Diman Tootaghaj, Farshid Farhat, Mohammad Arjomand, Paolo Faraboschi, Mahmut Kandemir, Anand Sivasubramaniam and Chita. Das · 2015
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“BURSE: A Bursty and Self-Similar Workload Generator for Cloud Computing”
Jianwei Yin, Xingjian Lu, Xinkui Zhao, Hanwei Chen and Xue Liu · 2015
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“A Cloud-scale Acceleration Architecture”, 2016
Adrian Caulfield, Eric Chung, Andrew Putnam, Hari Angepat, Jeremy Fowers, Michael Haselman, Stephen Heil, Matt Humphrey, Puneet Kaur, Joo-Young Kim, Daniel Lo, Todd Massengill, Kalin Ovtcharov, Michael Papamichael, Lisa Woods, Sitaram Lanka, Derek Chiou and Doug Burger · 2016
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“Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale”, 2016
Muhuan Huang, Di Wu, Cody Yu, Zhenman Fang, Matteo Interlandi, Tyson Condie and Jason Cong · 2016
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“REoN: A Protocol for Reliable Software-Defined FPGA Partial Reconfiguration over Network”, 2016
Vaibhawa Mishra, Qianqiao Chen and Georgios Zervas · 2016
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“Accelerating Recurrent Neural Networks in Analytics Servers: Comparison of FPGA, CPU, GPU, and ASIC”, 2016
Eriko Nurvitadhi, Jaewoong Sim, David Sheffield, Asit Mishra, Srivatsan Krishnan and Debbie Marr · 2016
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“From High-level Deep Neural Models to FPGAs”, 2016
Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kim, Chenkai Shao, Asit Mishra and Hadi Esmaeilzadeh · 2016
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“Disaggregated FPGAs: Network Performance Comparison Against Bare-Metal Servers, Virtual Machines and Linux Containers”, 2016
Jagath Weerasinghe, Francois Abel, Christoph Hagleitner and Andreas Herkersdorf · 2016
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“Network-Attached FPGAs for Data Center Applications”, 2016
Jagath Weerasinghe, Raphael Polig, Francois Abel and Christoph Hagleitner · 2016
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“A Universal Self-Calibrating Dynamic Voltage and Frequency Scaling (DVFS) Scheme with Thermal Compensation for Energy Savings in FPGAs”, 2016
Shuze Zhao, Ibrahim Ahmed, Carl Lamoureux, Ashraf Lotfi, Vaughn Betz and Olivier Trescases · 2016
Cited alongside, same era.
“An FPGA Platform for Hyperscalers”, 2017
Francois Abel, Jagath Weerasinghe, Christoph Hagleitner, Beat Weiss and Stephan Paredes · 2017
Cited alongside, same era.
“Swayam: Distributed Autoscaling to Meet SLAs of Machine Learning Inference Services with Resource Efficiency”, 2017
Arpan Gujarati, Sameh Elnikety, Yuxiong He, Kathryn McKinley and Björn Brandenburg · 2017
Cited alongside, same era.
“Caribou: Intelligent Distributed Storage”
Zsolt István, David Sidler and Gustavo Alonso · 2017
Cited alongside, same era.
“My VM Is Lighter (and Safer) than Your Container”, 2017
Filipe Manco, Costin Lupu, Florian Schmidt, Jose Mendes, Simon Kuenzer, Sumit Sati, Kenichi Yasukata, Costin Raiciu and Felipe Huici · 2017
Cited alongside, same era.
“Building the Infrastructure for Deploying FPGAs in the Cloud”
Naif Tarafdar, Thomas Lin, Daniel Ly-Ma, Daniel Rozhko, Alberto Leon-Garcia and Paul Chow · 2019
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“MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving”, 2019
Chengliang Zhang, Minchen Yu, Wei Wang and Feng Yan · 2019
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“Firecracker: Lightweight Virtualization for Serverless Applications”, 2020
Alexandru Agache, Marc Brooker, Alexandra Iordache, Anthony Liguori, Rolf Neugebauer, Phil Piwonka and Diana-Maria Popa · 2020
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“BlastFunction: An FPGA-as-a-Service System for Accelerated Serverless Computing”, 2020
Marco Bacis, Rolando Brondolin and Marco Santambrogio · 2020
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“Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs”, 2020
Andrew Boutros, Eriko Nurvitadhi, Rui Ma, Sergey Gribok, Zhipeng Zhao, James. Hoe, Vaughn Betz and Martin Langhammer · 2020
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“Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?”
Eriko Nurvitadhi, Ganesh Venkatesh, Jaewoong Sim, Debbie Marr, Randy Huang, Jason Ong, Yeong Liew, Krishnan Srivatsan, Duncan Moss, Suchit Subhaschandra and Guy Boudoukh · 2017
Cited alongside, same era.
“Enabling Flexible Network FPGA Clusters in a Heterogeneous Cloud Data Center”, 2017
Naif Tarafdar, Thomas Lin, Eric Fukuda, Hadi Bannazadeh, Alberto Leon-Garcia and Paul Chow · 2017
Cited alongside, same era.
“The Datacenter as a Computer: Designing Warehouse-Scale Machines”
Luizé Barroso, Urs Hölzle and Parthasarathy Ranganathan · 2018
Cited alongside, same era.
“TVM: An Automated End-to-End Optimizing Compiler for Deep Learning”, 2018
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin and Arvind Krishnamurthy · 2018
Cited alongside, same era.
“Serving DNNs in Real Time at Datacenter Scale with Project Brainwave”
Eric Chung, Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Adrian Caulfield, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Maleen Abeydeera, Logan Adams, Hari Angepat, Christian Boehn, Derek Chiou, Oren Firestein, Alessandro Forin, Kang Gatlin, Mahdi Ghandi, Stephen Heil, Kyle Holohan, Ahmad El, Tamas Juhasz, Kara Kagi, Ratna. Kovvuri, Sitaram Lanka, Friedel van Megen, Dima Mukhortov, Prerak Patel, Brandon Perez, Amanda Rapsang, Steven Reinhardt, Bita Rouhani, Adam Sapek, Raja Seera, Sangeetha Shekar, Balaji Sridharan, Gabriel Weisz, Lisa Woods, Phillip Yi, Dan Zhang, Ritchie Zhao and Doug Burger · 2018
Cited alongside, same era.
“A Configurable Cloud-scale DNN Processor for Real-time AI”, 2018
Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Logan Adams, Mahdi Ghandi, Stephen Heil, Prerak Patel, Adam Sapek, Gabriel Weisz, Lisa Woods, Sitaram Lanka, Steven Reinhardt, Adrian Caulfield, Eric Chung and Doug Burger · 2018
Cited alongside, same era.
“Sharing, Protection, and Compatibility for Reconfigurable Fabric with AmorphOS”
Ahmed Khawaja, Joshua Landgraf, Rohith Prakash, Michael Wei, Eric Schkufza and Christopher Rossbach · 2018
Cited alongside, same era.
“Catalyzer: Sub-millisecond Startup for Serverless Computing with Initialization-less Booting”, 2020
Dong Du, Tianyi Yu, Yubin Xia, Binyu Zang, Guanglu Yan, Chenggang Qin, Qixuan Wu and Haibo Chen · 2020
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“Serving DNNs like Clockwork: Performance Predictability from the Bottom Up”, 2020
Arpan Gujarati, Reza Karimi, Safya Alzayat, Wei Hao, Antoine Kaufmann, Ymir Vigfusson and Jonathan Mace · 2020
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“Do OS Abstractions Make Sense on FPGAs?”, 2020
Dario Korolija, Timothy Roscoe and Gustavo Alonso · 2020
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“AlloX: Compute Allocation in Hybrid Clusters”, 2020
Tan. Le, Xiao Sun, Mosharaf Chowdhury and Zhenhua Liu · 2020
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“A Hypervisor for Shared-Memory FPGA Platforms”, 2020
Jiacheng Ma, Gefei Zuo, Kevin Loughlin, Xiaohe Cheng, Yanqiang Liu, Abel Eneyew, Zhengwei Qi and Baris Kasikci · 2020
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“Programming Reconfigurable Heterogeneous Computing Clusters Using MPI With Transpilation”, 2020
Burkhard Ringlein, Francois Abel, Alexander Ditter, Beat Weiss, Christoph Hagleitner and Dietmar Fey · 2020
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“Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider”, 2020
Mohammad Shahrad, Rodrigo Fonseca, Íñigo Goiri, Gohar Chaudhry, Paul Batum, Jason Cooke, Eduardo Laureano, Colby Tresness, Mark Russinovich and Ricardo Bianchini · 2020
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“Sequoia: Enabling Quality-of-Service in Serverless Computing”, 2020
Ali Tariq, Austin Pahl, Sharat Nimmagadda, Eric Rozner and Siddharth Lanka · 2020
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“Virtualizing FPGAs in the Cloud”, 2020
Yue Zha and Jing Li · 2020
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“Achieving 100Gbps Intrusion Prevention on a Single Server”, 2020
Zhipeng Zhao, Hugo Sadok, Nirav Atre, James Hoe, Vyas Sekar and Justine Sherry · 2020
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“FaasCache: Keeping Serverless Computing Alive with Greedy-Dual Caching”
Alexander Fuerst and Prateek Sharma · 2021
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“Nightcore: Efficient and Scalable Serverless Computing for Latency-Sensitive, Interactive Microservices”, 2021
Zhipeng Jia and Emmett Witchel · 2021
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“Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis”
Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He and Chengzhong Xu · 2021
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“INFaaS: Automated Model-less Inference Serving”
Francisco Romero, Qian Li, Neeraja Yadwadkar and Christos Kozyrakis · 2021
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“Single-Source Hardware-Software Codesign”, 2021
Blaise-Pascal Tine, Sudhakar Yalamanchili and Hyesoon Kim · 2021
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“Serverless Computing on Heterogeneous Computers”
Dong Du, Qingyuan Liu, Xueqiang Jiang, Yubin Xia, Binyu Zang and Haibo Chen · 2022
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“FPGA-based HPC accelerators: An Evaluation on Performance and Energy Efficiency”
Tan Nguyen, Colin MacLean, Marco Siracusa, Douglas Doerfler, Nicholas Wright and Samuel Williams · 2022
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“IceBreaker: Warming Serverless Functions Better with Heterogeneity”, 2022
Rohan Roy, Tirthak Patel and Devesh Tiwari · 2022
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“INFless: A Native Serverless System for Low-Latency, High-Throughput Inference”, 2022
Yanan Yang, Laiping Zhao, Yiming Li, Huanyu Zhang, Jie Li, Mingyang Zhao, Xingzhen Chen and Keqiu Li · 2022
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“HeteroGen: Transpiling C to Heterogeneous HLS Code with Automated Test Generation and Program Repair”, 2022
Qian Zhang, Jiyuan Wang, Guoqing Xu and Miryung Kim · 2022
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