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Smartly handling renewable energy instability in supporting a cloud datacenter
The size and energy consumption of datacenters have been increasing significantly over the
past years. As a result, datacenters' increasing electricity monetary cost, energy …
past years. As a result, datacenters' increasing electricity monetary cost, energy …
FT-CNN: Algorithm-based fault tolerance for convolutional neural networks
Convolutional neural networks (CNNs) are becoming more and more important for solving
challenging and critical problems in many fields. CNN inference applications have been …
challenging and critical problems in many fields. CNN inference applications have been …
[HTML][HTML] Artificial intelligence: An energy efficiency tool for enhanced high performance computing
Power-consuming entities such as high performance computing (HPC) sites and large data
centers are growing with the advance in information technology. In business, HPC is used to …
centers are growing with the advance in information technology. In business, HPC is used to …
ePVF: An enhanced program vulnerability factor methodology for cross-layer resilience analysis
The Program Vulnerability Factor (PVF) has been proposed as a metric to understand the
impact of hardware faults on software. The PVF is calculated by identifying the program bits …
impact of hardware faults on software. The PVF is calculated by identifying the program bits …
What does power consumption behavior of hpc jobs reveal?: Demystifying, quantifying, and predicting power consumption characteristics
T Patel, A Wagenhäuser, C Eibel… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
As we approach exascale computing, large-scale HPC systems are becoming increasingly
power-constrained, requiring them to run HPC workloads in an energy-efficient manner. The …
power-constrained, requiring them to run HPC workloads in an energy-efficient manner. The …
GreenMM: energy efficient GPU matrix multiplication through undervolting
The current trend of ever-increasing performance in scientific applications comes with
tremendous growth in energy consumption. In this paper, we present GreenMM framework …
tremendous growth in energy consumption. In this paper, we present GreenMM framework …
[HTML][HTML] An Overview of Digital Transformation and Environmental Sustainability: Threats, Opportunities, and Solutions
A Goel, S Masurkar, GR Pathade - Sustainability, 2024 - mdpi.com
Digital transformation, powered by technologies like AI, IoT, and big data, is resha**
industries and societies at an unprecedented pace. While these innovations promise …
industries and societies at an unprecedented pace. While these innovations promise …
TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs
J Chen, N ** With Deep Reinforcement Learning
Power and energy consumption is the limiting factor of modern computing systems. As the
GPU becomes a mainstream computing device, power management for GPUs becomes …
GPU becomes a mainstream computing device, power management for GPUs becomes …
New-sum: A novel online abft scheme for general iterative methods
Emerging high-performance computing platforms, with large component counts and lower
power margins, are anticipated to be more susceptible to soft errors in both logic circuits and …
power margins, are anticipated to be more susceptible to soft errors in both logic circuits and …