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The goal of this work is to minimize the energy dissipation of embedded controllers without jeopardizing the quality of control (QoC). Taking advantage of the dynamic voltage scaling (DVS) technology, this paper develops a performance-aware…

Other Computer Science · Computer Science 2008-09-30 Feng Xia , Liping Liu , Longhua Ma , Youxian Sun , Jinxiang Dong

We propose a server-based approach to manage a general-purpose graphics processing unit (GPU) in a predictable and efficient manner. Our proposed approach introduces a GPU server that is a dedicated task to handle GPU requests from other…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-14 Hyoseung Kim , Pratyush Patel , Shige Wang , Ragunathan , Rajkumar

Vortex, a newly proposed open-source GPGPU platform based on the RISC-V ISA, offers a valid alternative for GPGPU research over the broadly-used modeling platforms based on commercial GPUs. Similarly to the push originating from the RISC-V…

Hardware Architecture · Computer Science 2025-12-02 Giuseppe M. Sarda , Nimish Shah , Abubakr Nada , Debjyoti Bhattacharjee , Marian Verhelst

Cutting-edge embedded system applications, such as self-driving cars and unmanned drone software, are reliant on integrated CPU/GPU platforms for their DNNs-driven workload, such as perception and other highly parallel components. In this…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-20 Soroush Bateni , Zhendong Wang , Yuankun Zhu , Yang Hu , Cong Liu

The proliferation of IoT devices and advancements in network technologies have intensified the demand for real-time data processing at the network edge. To address these demands, low-power AI accelerators, particularly GPUs, are…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-13 Abhinaba Chakraborty , Wouter Tavernier , Akis Kourtis , Mario Pickavet , Andreas Oikonomakis , Didier Colle

The Nvidia GPU architecture has introduced new computing elements such as the \textit{tensor cores}, which are special processing units dedicated to perform fast matrix-multiply-accumulate (MMA) operations and accelerate \textit{Deep…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-12 Roberto Carrasco , Raimundo Vega , Cristóbal A. Navarro

The continued growth of the computational capability of throughput processors has made throughput processors the platform of choice for a wide variety of high performance computing applications. Graphics Processing Units (GPUs) are a prime…

Hardware Architecture · Computer Science 2018-05-01 Rachata Ausavarungnirun

Graphics Processing Units (GPUs) are becoming popular accelerators in modern High-Performance Computing (HPC) clusters. Installing GPUs on each node of the cluster is not efficient resulting in high costs and power consumption as well as…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-06-15 Javier Prades , Blesson Varghese , Carlos Reano , Federico Silla

The performance of discrete general purpose graphics processing units (GPGPUs) has been improving at a rapid pace. The PCIe interconnect that controls the communication of data between the system host memory and the GPU has not improved as…

Computational Physics · Physics 2019-05-15 Connor Kenyon , Glenn Volkema , Gaurav Khanna

Efficient data access in High-Performance Computing (HPC) systems is essential to the performance of intensive computing tasks. Traditional optimizations of the I/O stack aim to improve peak performance but are often workload specific and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-21 Thomas Collignon , Kouds Halitim , Raphaël Bleuse , Sophie Cerf , Bogdan Robu , Éric Rutten , Lionel Seinturier , Alexandre van Kempen

The deep learning revolution has been enabled in large part by GPUs, and more recently accelerators, which make it possible to carry out computationally demanding training and inference in acceptable times. As the size of machine learning…

Cryptography and Security · Computer Science 2022-03-31 Sankha Baran Dutta , Hoda Naghibijouybari , Arjun Gupta , Nael Abu-Ghazaleh , Andres Marquez , Kevin Barker

Production high-performance computing systems continue to grow in complexity and size. As applications struggle to make use of increasingly heterogeneous compute nodes, maintaining high efficiency (performance per watt) for the whole…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-07 Eric Rutten , Sophie Cerf , Raphaël Bleuse , Valentin Reis , Swann Perarnau

This paper considers the problem of temperature regulation in multicore processors by dynamic voltage-frequency scaling. We propose a feedback law that is based on an integral controller with adjustable gain, designed for fast tracking…

Optimization and Control · Mathematics 2016-11-18 Karthik Rao , William Song , Sudhakar Yalamanchili , Yorai Wardi

Multi-core architectures can be leveraged to allow independent processes to run in parallel. However, due to resources shared across cores, such as caches, distinct processes may interfere with one another, e.g. affecting execution time.…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-09-17 Dan Iorga , Tyler Sorensen , Alastair F. Donaldson

Even with generational improvements in DRAM technology, memory access latency still remains the major bottleneck for application accelerators, primarily due to limitations in memory interface IPs which cannot fully account for variations in…

Hardware Architecture · Computer Science 2021-08-24 Sasindu Wijeratne , Sanket Pattnaik , Zhiyu Chen , Rajgopal Kannan , Viktor Prasanna

This paper presents, implements, and evaluates a power-regulation technique for multicore processors, based on an integral controller with adjustable gain. The gain is designed for wide stability margins, and computed in real time as part…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-15 X. Chen , Y. Wardi , S. Yalamanchili

GPUs in High-Performance Computing systems remain under-utilised due to the unavailability of schedulers that can safely schedule multiple applications to share the same GPU. The research reported in this paper is motivated to improve the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-14 Carlos Reano , Federico Silla , Dimitrios S. Nikolopoulos , Blesson Varghese

Now a days, power has become a primary consideration in hardware design, and is critical in computer systems especially for portable devices with high performance and more functionality. Clock-gating is the most common technique used for…

Hardware Architecture · Computer Science 2010-09-10 M. Kamaraju , K. Lal Kishore , A. V. N. Tilak

Modern GPUs increasingly rely on specialized and asynchronous hardware units to deliver high performance. Yet these units are often underutilized because today's GPU software stacks still organize programming and execution around a…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-06 Zijian He , Adrian Sampson , Yiying Zhang , Zhiyuan Guo

The Internet of Things (IoT) necessitates robust access control mechanisms to secure a vast array of interconnected devices. Most of the existing IoT systems in practice use centralized solutions. We identify the problems in such solutions…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-27 Yongtao Huang , I-Ling Yen , Farokh Bastani
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