Energy efficient computing systems: Architectures, abstractions and modeling to techniques and standards

R Muralidhar, R Borovica-Gajic, R Buyya - ACM Computing Surveys …, 2022 - dl.acm.org
Computing systems have undergone a tremendous change in the last few decades with
several inflexion points. While Moore's law guided the semiconductor industry to cram more …

Energy efficient hotspot-targeted embedded liquid cooling of electronics

CS Sharma, MK Tiwari, S Zimmermann, T Brunschwiler… - Applied Energy, 2015 - Elsevier
Large data centers today already account for nearly 1.31% of total electricity consumption
with cooling responsible for roughly 33% of that energy consumption. This energy intensive …

Asic clouds: Specializing the datacenter

I Magaki, M Khazraee, LV Gutierrez… - ACM SIGARCH Computer …, 2016 - dl.acm.org
GPU and FPGA-based clouds have already demonstrated the promise of accelerating
computing-intensive workloads with greatly improved power and performance. In this paper …

A novel method of energy efficient hotspot-targeted embedded liquid cooling for electronics: An experimental study

CS Sharma, G Schlottig, T Brunschwiler… - International Journal of …, 2015 - Elsevier
The shift to multicore microprocessor architecture is likely to result in higher coolant flow
requirements and thus exacerbate the problem of increasing data center energy …

Improving performance and energy consumption in embedded systems via binary acceleration: A survey

N Paulino, JC Ferreira, JMP Cardoso - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
The breakdown of Dennard scaling has resulted in a decade-long stall of the maximum
operating clock frequencies of processors. To mitigate this issue, computing shifted to multi …

Theoretical and numerical investigation of embedded microfluidic thermal management using gradient distribution micro pin fin arrays

S Feng, Y Yan, H Li, Z Yang, L Li, L Zhang - Applied Thermal Engineering, 2019 - Elsevier
Targeted at improving overall hydro-thermal performance of microfluidic cooling, a novel
embedded cooling configuration using gradient distribution micro pin fin arrays (GD-MPFA) …

Performance analysis of double-layer microchannel heat sinks under non-uniform heating conditions with random hotspots

D Ansari, KY Kim - Micromachines, 2017 - mdpi.com
Performance analysis of double-layer microchannel heat sinks was performed under non-
uniform heating conditions having randomly distributed hotspots. Two parallel-channel …

The Dark Side of Silicon

AM Rahmani, P Liljeberg, A Hemani, A Jantsch… - Switzerland …, 2016 - Springer
The Dark Side of Silicon Amir M. Rahmani· Pasi Liljeberg Ahmed Hemani· Axel Jantsch Hannu
Tenhunen Editors The Dark Side of Silicon Energy E cient Computing in the Dark Silicon Era …

Asic clouds: Specializing the datacenter for planet-scale applications

MB Taylor, L Vega, M Khazraee, I Magaki… - Communications of the …, 2020 - dl.acm.org
Planet-scale applications are driving the exponential growth of the Cloud, and datacenter
specialization is the key enabler of this trend. GPU-and FPGA-based clouds have already …

3D-ReG: A 3D ReRAM-based heterogeneous architecture for training deep neural networks

B Li, JR Doppa, PP Pande, K Chakrabarty… - ACM Journal on …, 2020 - dl.acm.org
Deep neural network (DNN) models are being expanded to a broader range of applications.
The computational capability of traditional hardware platforms cannot accommodate the …