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A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services

Andrew Putnam, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Gopi Prashanth Gopal, Jan Gray, Michael Haselman, Scott Hauck (+11 others)
2015 IEEE Micro  
To advance datacenter capabilities beyond what commodity server designs can provide, we have designed and built a composable, reconfigurable fabric to accelerate portions of large-scale software services  ...  In this paper, we describe a medium-scale deployment of this fabric on a bed of 1,632 servers, and measure its efficacy in accelerating the Bing web search engine.  ...  Many people across many organizations contributed to the construction of this system, and while they are too numerous to list here individually, we thank our collaborators in Microsoft Global Foundation Services  ... 
doi:10.1109/mm.2015.42 fatcat:5ywjh7qpljgm7cvkqwudzqhjky

A reconfigurable fabric for accelerating large-scale datacenter services

Andrew Putnam, Gopal Jan, Gray Michael, Haselman Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James Larus, Eric Peterson, Simon Pope, Adrian M. Caulfield (+11 others)
2014 SIGARCH Computer Architecture News  
To advance datacenter capabilities beyond what commodity server designs can provide, we have designed and built a composable, reconfigurable fabric to accelerate portions of large-scale software services  ...  In this paper, we describe a medium-scale deployment of this fabric on a bed of 1,632 servers, and measure its efficacy in accelerating the Bing web search engine.  ...  Many people across many organizations contributed to the construction of this system, and while they are too numerous to list here individually, we thank our collaborators in Microsoft Global Foundation Services  ... 
doi:10.1145/2678373.2665678 fatcat:zc3hc7ijbjdmxi4qfegrzpyfy4

A reconfigurable fabric for accelerating large-scale datacenter services

Andrew Putnam, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Gopi Prashanth Gopal, Jan Gray, Michael Haselman, Scott Hauck (+11 others)
2014 2014 ACM/IEEE 41st International Symposium on Computer Architecture (ISCA)  
To advance datacenter capabilities beyond what commodity server designs can provide, we have designed and built a composable, reconfigurable fabric to accelerate portions of large-scale software services  ...  In this paper, we describe a medium-scale deployment of this fabric on a bed of 1,632 servers, and measure its efficacy in accelerating the Bing web search engine.  ...  Many people across many organizations contributed to the construction of this system, and while they are too numerous to list here individually, we thank our collaborators in Microsoft Global Foundation Services  ... 
doi:10.1109/isca.2014.6853195 dblp:conf/isca/PutnamCCCCDEFGGHHHHKLLPPSTXB14 fatcat:mq75web33vbzjp3qyovjq32hju

A reconfigurable fabric for accelerating large-scale datacenter services

Andrew Putnam, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James Larus, Eric Peterson, Simon Pope, Adrian M. Caulfield (+11 others)
2016 Communications of the ACM  
To advance datacenter capabilities beyond what commodity server designs can provide, we have designed and built a composable, reconfigurable fabric to accelerate portions of large-scale software services  ...  In this paper, we describe a medium-scale deployment of this fabric on a bed of 1,632 servers, and measure its efficacy in accelerating the Bing web search engine.  ...  Many people across many organizations contributed to the construction of this system, and while they are too numerous to list here individually, we thank our collaborators in Microsoft Global Foundation Services  ... 
doi:10.1145/2996868 fatcat:5hqxeegad5gibgct66bb7ebgw4

DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric

Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis
2017 IEEE Micro  
Evaluation We evaluate DRAF as a reconfigurable fabric for datacenter applications using a wide set of accelerator designs for representative computation kernels commonly used in large-scale production  ...  This is an issue both for large-scale datacenters that are optimized for total cost of ownership and for small mobile devices that have strict budgets for power and chip area.  ...  systems ranging from cell phones to warehouse-scale datacenters.  ... 
doi:10.1109/mm.2017.50 fatcat:lgdjftxlnfg4dacdcyejive5b4

A Cloud-Scale Acceleration Architecture

Adrian Caulfield, Eric Chung, Andrew Putnam, Hari Angepat, Jeremy Fowers, Stephen Heil, Joo-Young Kim, Daniel Lo, Michael Papamichael, Todd Massengill, Derek Chiou, Doug Burger
2017 IEEE Micro  
We deployed this design over a production server bed, and show how it can be used for both service acceleration (Web search ranking) and network acceleration (encryption of data in transit at highspeeds  ...  In this paper we propose a new cloud architecture that uses reconfigurable logic to accelerate both network plane functions and applications.  ...  This reconfigurable acceleration plane, however, will be pervasive, offering large-scale gains in capabilities and enabling rapid evolution of datacenter protocols.  ... 
doi:10.1109/mm.2017.265085811 fatcat:zvhw3z4cdzgcph6sr4fh5jdaka

Revisiting the High-Performance Reconfigurable Computing for Future Datacenters

Qaiser Ijaz, El-Bay Bourennane, Ali Kashif Bashir, Hira Asghar
2020 Future Internet  
The sustainability of this large-scale integration depends on enabling multi-tenant FPGAs.  ...  Open problems are indicated for scientific community as well.  ...  The authors would also like to thank Usman Ahmad, Dalhousie University of Canada for his advice on research writing in general.  ... 
doi:10.3390/fi12040064 fatcat:zrt5ergxnvezlmltkbwgiixcm4

Virtualized FPGA Accelerators for Efficient Cloud Computing

Suhaib A Fahmy, Kizheppatt Vipin, Shanker Shreejith
2015 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom)  
The large FPGA offers ample resources for complex As an application case study, we built a map-reduce accelerator for word counting, which finds the number of occurrences of a specified word in a large  ...  Partial reconfiguration also allows for much faster reconfiguration of accelerators. III. EXISTING WORK Incorporation of FPGAs in the datacenter is a relatively new area of research.  ... 
doi:10.1109/cloudcom.2015.60 dblp:conf/cloudcom/FahmyVS15 fatcat:s2wvv7gjsrfg7pqywvx56ujyoa

Study of Automatic GPU Offloading Method from Various Language Applications [article]

Yoji Yamato
2020 arXiv   pre-print
In this paper, I study a common method for automatically offloading for various language applications not only in C language but also in Python and Java.  ...  However, the source language for offloading was mainly C/C++ language applications currently, and there was no research for common offloading for various language applications.  ...  ., "A reconfigurable fabric for accelerating large-scale datacenter services," ISCA'14, pp.13-24, 2014. [2] O.  ... 
arXiv:2011.03602v1 fatcat:5gna54vwtjckrhob2af6jm3rtu

Energy-Efficient Big Data Analytics in Datacenters [chapter]

Farhad Mehdipour, Hamid Noori, Bahman Javadi
2016 Advances in Computers  
Also, as the scale of the datacenter is increasingly expanding, minimizing energy consumption and operational cost is a vital concern.  ...  First the datacenter architecture including computing and networking technologies as well as data centers for cloud-based services will be illustrated.  ...  In the Data Analytics IaaS Infrastructure as a Service Big Data Analytics on Datacenters The major driver for modern datacenters is analysing of large-scale and massive data sets [11] .  ... 
doi:10.1016/bs.adcom.2015.10.002 fatcat:xpecmdmje5avvphkdrdnyv4fqi

Reconfigurable Data Processing for Clouds

Anil Madhavapeddy, Satnam Singh
2011 2011 IEEE 19th Annual International Symposium on Field-Programmable Custom Computing Machines  
Reconfigurable computing in the cloud helps to solve many practical problems relating to scaling out datacenters where computation is limited by energy consumption or latency.  ...  However, for reconfigurable computing in the cloud to become practical several research challenges have to be addressed.  ...  The availability of very large scale reconfigurable computing devices enables the deployment of this flexible technology in contexts where in the past capacity limitations have prevented their use as a  ... 
doi:10.1109/fccm.2011.35 dblp:conf/fccm/MadhavapeddyS11 fatcat:yu6l4miejjaolmgoppe2flcd6y

A Study of Reconfigurable Accelerators for Cloud Computing

Noor Mohammedali, Michael Opoku Agyeman
2018 Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control - ISCSIC '18  
This paper looks at FPGAs as reconfigurable accelerators for the cloud computing presents the main hardware accelerators that have been presented in various widely used cloud computing applications such  ...  Field Programmable Gate Arrays (FPGAs) with Cloud ecosystem offer high performance in efficiency and energy, making them active resources, easy to program and reconfigure.  ...  HARDWARE ACCELERATOR FOR A CLOUD COMPUTING A reconfigurable Catapult fabric for accelerating datacenter services for large-scale production workloads is proposed in [8] .  ... 
doi:10.1145/3284557.3284563 fatcat:chmip5oxmjcdnmjde2g52fxg4i

D5.1: Accelerator Deployment Models

Eleni Kanellou, Nikolaos Chrysos, Angelos Bilas, Christoforos Kachris
2017 Zenodo  
A deployment specifies types, amount, and connectivity of accelerators in a datacenter.  ...  In this deliverable, we explore this question by studying accelerator deployment models. Under accelerator, we understand for example application-specific GPUs or specially programmed FPGAs.  ...  The affinity table is a core instrument of VineSim, critical in speeding up simulation times for large workloads in large datacenter deployments.  ... 
doi:10.5281/zenodo.898170 fatcat:l6gfsswmbbg7niupwnix7tfmjm

Composable architecture for rack scale big data computing

Chung-Sheng Li, Hubertus Franke, Colin Parris, Bulent Abali, Mukil Kesavan, Victor Chang
2017 Future generations computer systems  
for rack scale architecture. throughput and latency are usually poor, due to a prolonged execution time and constrained quality of service (QoS).  ...  Through empirical approaches, we develop assessment of the opportunities and challenges for leveraging the composable architecture for rack scale cloud datacenters with a focus on big data and NoSQL workloads  ...  PCIe fabrics do not scale beyond a few racks. However with the use of PCIe fabrics, resource pooling is simplified at the rack scale.  ... 
doi:10.1016/j.future.2016.07.014 fatcat:bf7rs7plxrb5beczlbljmze3dq

Networking Challenges and Resultant Approaches for Large Scale Cloud Construction

David Bernstein, Erik Ludvigson
2009 2009 Workshops at the Grid and Pervasive Computing Conference  
Cloud Computing is a term applied to large, hosted datacenters, usually geographically distributed, which offer various computational services on a "utility" basis.  ...  Providers who construct these datacenters run into a variety of challenges which are not common in ordinary-scale datacenters.  ...  Introduction Construction of large scale datacenters has been a subject area of much research and industry specification.  ... 
doi:10.1109/gpc.2009.10 dblp:conf/gpc/BernsteinL09 fatcat:sh4edkgofje2vmxxj7qhnrgjdm
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