Conservation cores: reducing the energy of mature computations

By Ganesh Venkatesh, Jack Sampson, Nathan Goulding, Saturnino Garcia, Vladyslav Bryksin, Jose Lugo-Martinez, Steven Swanson, Michael Bedford Taylor. ASPLOS XV, 2010

498 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/135de4744217bec58b8ed5ffc7f9aea11afd0896

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In Electrical and Electronic Engineering

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Citations in the corpus

From high-level deep neural models to FPGAs (2016, background): “With diminishing benefits from technology scaling [10] [11], the research community is increasingly turning to specialized accelerators for deep networks [12] [13] [14] [15] and other workloads [16] [17] [18] [19] [20] [21] [22].”
Sustainability of bitcoin and blockchains (2017, background): “While transistor count continues to increase according to Moore’s law, the per-transistor speed and energy efﬁciency improvements slow down exponentially [23,24].”
LINQits: big data on little clients (2013, unknown): “Categories and Subject Descriptors C.1.3 [Processor Architectures]: Adaptable architectures, data-flow architectures, high-level language architectures General Terms Design, Performance Keywords Co-processor accelerator, database, query language, big data, mobile, FPGA, ASIC”
A study of mobile device utilization (2015, background): “Several papers have presented work on addressing the Dark Silicon problem [27–30].”
Convolution engine: balancing efficiency & flexibility in specialized computing (2013, unknown): “Categories and Subject Descriptors C.5.4 [Computer Systems Implementation]: VLSI Systems— Customization, Heterogeneous CMP; C.1.3 [Processor Architectures]: Other Architecture Styles—Heterogeneous (Hybrid) Systems General Terms Algorithms, Performance, Computational Photography Keywords Convolution,”
ASIC Clouds: Specializing the Datacenter (2016, background): “The second change is the rise of dark silicon [1, 2, 3, 4] and dark silicon aware design techniques [5, 6, 7, 8, 9, 10] such as specialization and near-threshold computation, each of which help overcome threshold scaling limitations that prevent the full utilization of transistors on a silicon die.”
Is dark silicon useful? Harnessing the four horsemen of the coming dark silicon apocalypse (2012, background): “It is this shortfall that causes problems with multicore as the solution to scaling [9, 27].”
Neural Acceleration for General-Purpose Approximate Programs (2012, background): “This is common practice in the approximate computing literature [8,11,41].”