Dark Silicon — A thermal perspective

FoToNoC: A Folded Torus-Like Network-on-Chip Based Many-Core Systems-on-Chip in the Dark Silicon Era

IEEE Transactions on Parallel and Distributed Systems ◽

10.1109/tpds.2016.2643669 ◽

2017 ◽

Vol 28 (7) ◽

pp. 1905-1918 ◽

Cited By ~ 16

Author(s):

Lei Yang ◽

Weichen Liu ◽

Weiwen Jiang ◽

Mengquan Li ◽

Peng Chen ◽

...

Keyword(s):

Network On Chip ◽

Dark Silicon ◽

Systems On Chip ◽

On Chip ◽

Many Core

Thermal constrained resource management for mixed ILP-TLP workloads in dark silicon chips

Proceedings of the 52nd Annual Design Automation Conference on - DAC '15 ◽

10.1145/2744769.2744916 ◽

2015 ◽

Cited By ~ 42

Author(s):

Heba Khdr ◽

Santiago Pagani ◽

Muhammad Shafique ◽

Jörg Henkel

Keyword(s):

Resource Management ◽

Dark Silicon ◽

Silicon Chips

Exploração do espaço de projeto em arquiteturas heterogêneas cientes de dark silicon e utilizando computação aproximada

10.5753/eradco.2020.12644 ◽

2020 ◽

Author(s):

Daniela Catalan ◽

Ricardo Ribeiro Dos Santos

Keyword(s):

Dark Silicon

O problema de dark silicon surgiu com o incremento da corrente de fuga em consequência da miniaturização dos transistores. Pesquisas a fim de encontrar soluções para mitigar o dark silicon têm sido estudadas, muitas delas propondo a heterogeneidade de dispositivos de processamento. Contudo, o aumento da diversidade de dispositivos e dos objetivos na definição de sistemas heterogêneos e de alto desempenho, tornam o projeto de tais sistemas mais complexo, exigindo mecanismos automatizados de exploração de espaço de projeto cientes de dark silicon. Uma solução promissora é a utilização da computação aproximada, na qual, componentes de hardware e software utilizam a aproximação ao invés da precisão das operações, aceitando perda de qualidade de saída para melhorar a eficiência energética e obter ganhos de desempenho. Este trabalho objetiva obter soluções eficientes para o problema de exploração de projetos de processadores cientes de dark silicon, utilizando módulos de computação aproximada como elementos factíveis de um sistema computacional heterogêneo.

A Landscape of the New Dark Silicon Design Regime

IEEE Micro ◽

10.1109/mm.2013.90 ◽

2013 ◽

Vol 33 (5) ◽

pp. 8-19 ◽

Cited By ~ 83

Author(s):

Michael B. Taylor

Keyword(s):

Dark Silicon

An Algorithm Used in a Power Monitor to Mitigate Dark Silicon on VLSI Chip

2015 IEEE Computer Society Annual Symposium on VLSI ◽

10.1109/isvlsi.2015.59 ◽

2015 ◽

Cited By ~ 1

Author(s):

Zhou Zhao ◽

Ashok Srivastava ◽

Shaoming Chen ◽

Saraju P. Mohanty

Keyword(s):

Dark Silicon ◽

Vlsi Chip

GDP: A Greedy Based Dynamic Power Budgeting Method for Multi/Many-Core Systems in Dark Silicon

IEEE Transactions on Computers ◽

10.1109/tc.2018.2875986 ◽

2019 ◽

Vol 68 (4) ◽

pp. 526-541 ◽

Cited By ~ 3

Author(s):

Hai Wang ◽

Diya Tang ◽

Ming Zhang ◽

Sheldon X.-D. Tan ◽

Chi Zhang ◽

...

Keyword(s):

Dark Silicon ◽

Dynamic Power ◽

Many Core

Towards dark silicon era in FPGAs using complementary hard logic design

2014 24th International Conference on Field Programmable Logic and Applications (FPL) ◽

10.1109/fpl.2014.6927504 ◽

2014 ◽

Cited By ~ 9

Author(s):

Ali Ahari ◽

Behnam Khaleghi ◽

Zahra Ebrahimi ◽

Hossein Asadi ◽

Mehdi B. Tahoori

Keyword(s):

Logic Design ◽

Dark Silicon

A Perspective from Exploiting Heterogeneity on Networks-on-Chip Based on Dark Silicon Mitigation

2016 International Conference on Computational Science and Computational Intelligence (CSCI) ◽

10.1109/csci.2016.0117 ◽

2016 ◽

Author(s):

Juan Fang ◽

Min Cai ◽

Zhenyu Leng ◽

Sitong Liu

Keyword(s):

Dark Silicon ◽

Networks On Chip ◽

On Chip

Dynamic Power Management for Dark Silicon Multicore Processors ☆ ☆Parts of this chapter describe the author's prior work in publications [1–3]. Consequently, some of the text and the figures in this chapter are adapted from these prior publications.

Advances in Computers - Dark Silicon and Future On-chip Systems ◽

10.1016/bs.adcom.2018.03.016 ◽

2018 ◽

pp. 171-216

Author(s):

Siddharth Garg

Keyword(s):

Power Management ◽

Multicore Processors ◽

Dynamic Power Management ◽

Prior Work ◽

Dark Silicon ◽

Dynamic Power

Dark Silicon Aware Resource Management for Many-Core Systems

Advances in Computers - Dark Silicon and Future On-chip Systems ◽

10.1016/bs.adcom.2018.03.002 ◽

2018 ◽

pp. 127-170 ◽

Cited By ~ 1

Author(s):

Heba Khdr ◽

Santiago Pagani ◽

Muhammad Shafique ◽

Jörg Henkel

Keyword(s):

Resource Management ◽

Dark Silicon ◽

Many Core