NDLI: A reconfigurable fabric for accelerating large-scale datacenter services

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Volume 42, Issue 5, December 2014

Volume 42, Issue 4, Setember 2014

Volume 42, Issue 3, June 2014

Unifying on-chip and inter-node switching within the Anton 2 network

Avoiding core's DUE & SDC via acoustic wave detectors and tailored error containment and recovery

The Direct-to-Data (D2D) cache

Fine-grain task aggregation and coordination on GPUs

Efficient digital neurons for large scale cortical architectures

Memory persistency

Towards energy proportionality for large-scale latency-critical workloads

Row-buffer decoupling

Architecture implications of pads as a scarce resource

The CHERI capability model

General-purpose code acceleration with limited-precision analog computation

A reconfigurable fabric for accelerating large-scale datacenter services

Enabling preemptive multiprogramming on GPUs

An examination of the architecture and system-level tradeoffs of employing steep slope devices in 3D CMPs

Reducing access latency of MLC PCMs through line striping

Increasing off-chip bandwidth in multi-core processors with switchable pins

The dirty-block index

Single-graph multiple flows

Optimizing virtual machine consolidation performance on NUMA server architecture for cloud workloads

Flipping bits in memory without accessing them

A low power and reliable charge pump design for phase change memories

Eliminating redundant fragment shader executions on a mobile GPU via hardware memoization

Real-world design and evaluation of compiler-managed GPU redundant multithreading

Harnessing ISA diversity

Going vertical in memory management

Replay debugging

Improving the energy efficiency of big cores

Volume 42, Issue 2, May 2014

Volume 42, Issue 1, March 2014

A reconfigurable fabric for accelerating large-scale datacenter services

Content Provider	ACM Digital Library
Author	Lanka, Sitaram Heil, Stephen Constantinides, Kypros Gray, Jan Esmaeilzadeh, Hadi Fowers, Jeremy Kim, Joo-Young Burger, Doug Xiao, Phillip Yi Larus, James Putnam, Andrew Chiou, Derek Caulfield, Adrian M. Smith, Aaron Gopal, Gopi Prashanth Hauck, Scott Peterson, Eric Chung, Eric S. Pope, Simon Haselman, Michael Demme, John Hormati, Amir Thong, Jason
Abstract	Datacenter workloads demand high computational capabilities, flexibility, power efficiency, and low cost. It is challenging to improve all of these factors simultaneously. To advance datacenter capabilities beyond what commodity server designs can provide, we have designed and built a composable, reconfigurablefabric to accelerate portions of large-scale software services. Each instantiation of the fabric consists of a 6x8 2-D torus of high-end Stratix V FPGAs embedded into a half-rack of 48 machines. One FPGA is placed into each server, accessible through PCIe, and wired directly to other FPGAs with pairs of 10 Gb SAS cables 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. We describe the requirements and architecture of the system, detail the critical engineering challenges and solutions needed to make the system robust in the presence of failures, and measure the performance, power, and resilience of the system when ranking candidate documents. Under high load, the largescale reconfigurable fabric improves the ranking throughput of each server by a factor of 95% for a fixed latency distribution--- or, while maintaining equivalent throughput, reduces the tail latency by 29%
Starting Page	13
Ending Page	24
Page Count	12
File Format	PDF
ISSN	01635964
DOI	10.1145/2678373.2665678
Journal	ACM SIGARCH Computer Architecture News (CARN)
Volume Number	42
Issue Number	3
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1981-04-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article

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