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Power efficiency is becoming an ever more important metric for both high performance and high throughput computing. Over the course of next decade it is expected that flops/watt will be a major driver for the evolution of computer…

Computational Physics · Physics 2014-10-24 David Abdurachmanov , Peter Elmer , Giulio Eulisse , Shahzad Muzaffar

ARM-based and x86-64 laptop processors differ not only in instruction-set design, but also in memory hierarchy, core organization, system integration, and power-management mechanisms. This study presents a combined architectural and…

Hardware Architecture · Computer Science 2026-04-22 Mustafa Mert Özyılmaz

In this paper, we analyze the performance and energy consumption of an Arm-based high-performance computing (HPC) system developed within the European project Mont-Blanc 3. This system, called Dibona, has been integrated by ATOS/Bull, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-13 Filippo Mantovani , Marta Garcia-Gasulla , José Gracia , Esteban Stafford , Fabio Banchelli , Marc Josep-Fabrego , Joel Criado-Ledesma , Mathias Nachtmann

This paper evaluates HPC-style CPU performance and cost in virtualized cloud infrastructures using a subset of OpenMP workloads in the SPEC ACCEL suite. Four major cloud providers by market share AWS, Azure, Google Cloud Platform (GCP), and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-13 Jay Tharwani , Shobhit Aggarwal , Arnab A Purkayastha

We present the first comprehensive analysis of ARM MTE hardware performance on four different microarchitectures: ARM Big (A7x), Little (A5x), and Performance (Cortex-X) cores on the Google Pixel 8 and Pixel 9, and on Ampere Computing's…

Cryptography and Security · Computer Science 2026-01-21 Taehyun Noh , Yingchen Wang , Tal Garfinkel , Mahesh Madhav , Daniel Moghimi , Mattan Erez , Shravan Narayan

Web browsing is an activity that billions of mobile users perform on a daily basis. Battery life is a primary concern to many mobile users who often find their phone has died at most inconvenient times. The heterogeneous multi-core…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-11 Jie Ren , Ling Gao , Hai Wang , Zheng Wang

Energy efficiency has been a daunting challenge for datacenters. The financial industry operates some of the largest datacenters in the world. With increasing energy costs and the financial services sector growth, emerging financial…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-05 Giorgis Georgakoudis , Charles J. Gillan , Ahmed Sayed , Ivor Spence , Richard Faloon , Dimitrios S. Nikolopoulos

Latest ARM processors are approaching the computational power of x86 architectures while consuming much less energy. Consequently, supply follows demand with Amazon EC2, Equinix Metal and Microsoft Azure offering ARM-based instances, while…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-13 Christian Göttel , Konstantinos Parasyris , Osman Unsal , Pascal Felber , Marcelo Pasin , Valerio Schiavoni

In recent years, Arm-based processors have arrived on the HPC scene, offering an alternative the existing status quo, which was largely dominated by x86 processors. In this paper, we evaluate the Arm ecosystem, both the hardware offering…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-10 Adrian Jackson , Andrew Turner , Michele Weiland , Nick Johnson , Olly Perks , Mark Parsons

The A64FX CPU powers the current number one supercomputer on the Top500 list. Although it is a traditional cache-based multicore processor, its peak performance and memory bandwidth rival accelerator devices. Generating efficient code for…

Performance · Computer Science 2021-08-05 Christie L. Alappat , Jan Laukemann , Thomas Gruber , Georg Hager , Gerhard Wellein , Nils Meyer , Tilo Wettig

High-end ARM processors are emerging in data centers and HPC systems, posing as a strong contender to x86 machines. Memory-centric profiling is an important approach for dissecting an application's bottlenecks on memory access and guiding…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-03 Samuel Miksits , Ruimin Shi , Maya Gokhale , Jacob Wahlgren , Gabin Schieffer , Ivy Peng

The scale of scientific High Performance Computing (HPC) and High Throughput Computing (HTC) has increased significantly in recent years, and is becoming sensitive to total energy use and cost. Energy-efficiency has thus become an important…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-10-14 David Abdurachmanov , Peter Elmer , Giulio Eulisse , Robert Knight , Tapio Niemi , Jukka K. Nurminen , Filip Nyback , Goncalo Pestana , Zhonghong Ou , Kashif Khan

Today, our lifestyle revolves around digital devices powered by microprocessors of different instruction set architectures (ISA). Among them, the most common are x86 and ARM, the brainpower of our computers and smartphones. Reduced…

Computational Engineering, Finance, and Science · Computer Science 2024-02-06 Tahmid Noor Rahman , Nusaiba Khan , Zarif Ishmam Zaman

In recent years, data-intensive applications have been increasingly deployed on cloud systems. Such applications utilize significant compute, memory, and I/O resources to process large volumes of data. Optimizing the performance and…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-15 Qing Wang , Snigdhaswin Kar , Prabodh Mishra , Caleb Linduff , Ryan Izard , Khayam Anjam , Geddings Barrineau , Junaid Zulfiqar , Kuang-Ching Wang

This work elaborates on a High performance computing (HPC) architecture based on Simple Linux Utility for Resource Management (SLURM) [1] for deploying heterogeneous Large Language Models (LLMs) into a scalable inference engine. Dynamic…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-26 Anderson de Lima Luiz , Shubham Vijay Kurlekar , Munir Georges

Energy modelling can enable energy-aware software development and assist the developer in meeting an application's energy budget. Although many energy models for embedded processors exist, most do not account for processor-specific…

Software Engineering · Computer Science 2023-01-31 Kris Nikov , Kyriakos Georgiou , Zbigniew Chamski , Kerstin Eder , Jose Nunez-Yanez

Heterogeneous processors, formed by binary compatible CPU cores with different microarchitectures, enable energy reductions by better matching processing capabilities and software application requirements. This new hardware platform…

Hardware Architecture · Computer Science 2020-08-26 Kris Nikov , Jose L. Nunez-Yanez , Matthew Horsnell

As dataset sizes increase, data analysis tasks in high performance computing (HPC) are increasingly dependent on sophisticated dataflows and out-of-core methods for efficient system utilization. In addition, as HPC systems grow, memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-01 George K. Thiruvathukal , Cameron Christensen , Xiaoyong Jin , François Tessier , Venkatram Vishwanath

Energy modeling can enable energy-aware software development and assist the developer in meeting an application's energy budget. Although many energy models for embedded processors exist, most do not account for processor-specific…

Software Engineering · Computer Science 2021-05-25 Kyriakos Georgiou , Zbigniew Chamski , Kris Nikov , Kerstin Eder

Modern GPUs such as the Ampere series (A30, A100) as well as the Hopper series (H100, H200) offer performance as well as security isolation features. They also support a good amount of concurrency, but taking advantage of it can be quite…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-27 Abhijeet Saraha , Yuanbo Li , Chris Porter , Santosh Pande
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