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Nowadays, artificial intelligence (AI) technology with large models plays an increasingly important role in both academia and industry. It also brings a rapidly increasing demand for the computing power of the hardware. As the computing…

The arrival of heterogeneous (or hybrid) multicore architectures has brought new performance trade-offs for applications, and efficiency opportunities to systems. They have also increased the challenges related to thread scheduling, as…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-11 Yacine Idouar , Adrien Cassagne , Laércio Lima Pilla , Julien Sopena , Manuel Bouyer , Diane Orhan , Lionel Lacassagne , Dimitri Galayko , Denis Barthou , Christophe Jego

Sustainability in high performance computing (HPC) is a major challenge not only for HPC centers and their users, but also for society as the climate goals become stricter. A lot of effort went into reducing the energy consumption of…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-11 Osman Seckin Simsek , Jean-Guillaume Piccinali , Florina M. Ciorba

Rising computational demands of modern natural language processing (NLP) systems have increased the barrier to entry for cutting-edge research while posing serious environmental concerns. Yet, progress on model efficiency has been impeded…

This report serves two purposes: To introduce and validate the Execution-Cache-Memory (ECM) performance model and to provide a thorough analysis of current Intel processor architectures with a special emphasis on Intel Xeon Haswell-EP. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-06 Johannes Hofmann , Jan Eitzinger , Dietmar Fey

The end of Dennard scaling has pushed power consumption into a first order concern for current systems, on par with performance. As a result, near-threshold voltage computing (NTVC) has been proposed as a potential means to tackle the…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-30 Charalampos Chalios , Dimitrios S. Nikolopoulos , Enrique S. Quintana-Orti

This paper introduces the first low-power hardware accelerator for Spiking Transformers, an emerging alternative to traditional artificial neural networks. By modifying the base Spikformer model to use IAND instead of residual addition, the…

Hardware Architecture · Computer Science 2025-03-26 Bo-Yu Chen , Tian-Sheuan Chang

This paper shows that not every scan cell contributes equally to the power consumption during scan based test. The transitions at some scan cells cause more toggles at the internal signal lines of a circuit than the transitions at other…

Computational Engineering, Finance, and Science · Computer Science 2015-03-13 Reshma. p

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

Many HPC applications can be expressed as mixed-mode computations, in which each node of a computational DAG is itself a parallel computation that can be molded at runtime to allocate different amounts of processing resources. At the same…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-07-10 Agnes Rohlin , Henrik Fahlgren , Miquel Pericas

The heterogeneity in pack voltages and capacity of aged packs limits the performance and economic viability of second-use battery energy storage systems (2-BESS) due to issues of reliability and available energy. Overcoming these…

Systems and Control · Electrical Eng. & Systems 2022-02-25 Xiaofan Cui , Alireza Ramyar , Jason Siegel , Peyman Mohtat , Anna Stefanopoulou , Al-Thaddeus Avestruz

This paper provides both theoretical and experimental evidence for the existence of an Energy/Frequency Convexity Rule, which relates energy consumption and CPU frequency on mobile devices. We monitored a typical smartphone running a…

Other Computer Science · Computer Science 2014-01-21 Karel De Vogeleer , Gerard Memmi , Pierre Jouvelot , Fabien Coelho

We consider the problem of sampling $n$ numbers from the range $\{1,\ldots,N\}$ without replacement on modern architectures. The main result is a simple divide-and-conquer scheme that makes sequential algorithms more cache efficient and…

Data Structures and Algorithms · Computer Science 2019-11-18 Peter Sanders , Sebastian Lamm , Lorenz Hübschle-Schneider , Emanuel Schrade , Carsten Dachsbacher

High performance computing (HPC) architectures have undergone rapid development in recent years. As a result, established software suites face an ever increasing challenge to remain performant on and portable across modern systems. Many of…

The growth in the use of computationally intensive statistical procedures, especially with Big Data, has necessitated the usage of parallel computation on diverse platforms such as multicore, GPU, clusters and clouds. However, slowdown due…

Computation · Statistics 2014-09-23 Norman Matloff

Sustaining exascale performance in production requires engineering choices and operational practices that emerge only under real deployment constraints and demand coordination across system layers. This paper reports experience from three…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-13 Kazushige Goto , Huda Ibeid , Kalyan Kumaran , Servesh Muralidharan , Anthony-Trung Nguyen , Aditya Nishtala

TCP and its variants have suffered from surprisingly poor performance for decades. We argue the TCP family has little hope to achieve consistent high performance due to a fundamental architectural deficiency: hardwiring packet-level events…

Networking and Internet Architecture · Computer Science 2014-10-14 Mo Dong , Qingxi Li , Doron Zarchy , Brighten Godfrey , Michael Schapira

Graphics processing units (GPU) had evolved from a specialized hardware capable to render high quality graphics in games to a commodity hardware for effective processing blocks of data in a parallel schema. This evolution is particularly…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-03-26 Luis Cabellos

Parallel computing is a standard approach to achieving high-performance computing (HPC). Three commonly used methods to implement parallel computing include: 1) applying multithreading technology on single-core or multi-core CPUs; 2)…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-18 Xinyao Yi

In our previous work we introduced a so-called Amdahl blade microserver that combines a low-power Atom processor, with a GPU and an SSD to provide a balanced and energy-efficient system. Our preliminary results suggested that the sequential…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-08-12 Da Zheng , Alexander Szalay , Andreas Terzis
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