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Due to thermal and power supply limits, modern Intel CPUs reduce their frequency when AVX2 and AVX-512 instructions are executed. As the CPUs wait for 670{\mu}s before increasing the frequency again, the performance of some heterogeneous…

Operating Systems · Computer Science 2020-05-05 Mathias Gottschlag , Yussuf Khalil , Frank Bellosa

We present a low-power, energy efficient 32-bit RISC-V microprocessor unit (MCU) in 22 nm FD-SOI. It achieves ultra-low leakage,even at high temperatures, by using an adaptive reverse body biasing aware sign-off approach, a low-power…

Computing-in-Memory (CiM) architectures aim to reduce costly data transfers by performing arithmetic and logic operations in memory and hence relieve the pressure due to the memory wall. However, determining whether a given workload can…

Hardware Architecture · Computer Science 2020-01-16 Di Gao , Dayane Reis , Xiaobo Sharon Hu , Cheng Zhuo

Internet-of-Things end-nodes demand low power processing platforms characterized by heterogeneous dedicated units, controlled by a processor core running concurrent control threads. Such architecture scheme fits one of the main target…

Hardware Architecture · Computer Science 2020-07-20 Abdallah Cheikh , Gianmarco Cerutti , Antonio Mastrandrea , Francesco Menichelli , Mauro Olivieri

In High Performance Computing, systems are evaluated based on their computational throughput. However, performance in contemporary server processors is primarily limited by power and thermal constraints. Ensuring operation within a given…

Hardware Architecture · Computer Science 2021-10-26 Robert Schöne , Thomas Ilsche , Mario Bielert , Markus Velten , Markus Schmidl , Daniel Hackenberg

In this paper, we present Ara, a 64-bit vector processor based on the version 0.5 draft of RISC-V's vector extension, implemented in GlobalFoundries 22FDX FD-SOI technology. Ara's microarchitecture is scalable, as it is composed of a set of…

Hardware Architecture · Computer Science 2022-07-20 Matheus Cavalcante , Fabian Schuiki , Florian Zaruba , Michael Schaffner , Luca Benini

Expanding Deep Learning applications toward edge computing demands architectures capable of delivering high computational performance and efficiency while adhering to tight power and memory constraints. Digital In-Memory Computing (DIMC)…

Hardware Architecture · Computer Science 2026-02-03 Tommaso Spagnolo , Cristina Silvano , Riccardo Massa , Filippo Grillotti , Thomas Boesch , Giuseppe Desoli

RISC-Vs growing traction leads to the release of new RISC-V cores on a near monthly basis. In this growing and diverse ecosystem, understanding the performance and other properties of a RISC-V core is of great importance since selecting the…

Hardware Architecture · Computer Science 2023-04-13 Lucas Klemmer , Daniel Große

Energy-efficiency has become a major challenge in modern computer systems. To address this challenge, candidate systems increasingly integrate heterogeneous cores in order to satisfy diverse computation requirements by selecting cores with…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-07 Anastasiia Butko , Florent Bruguier , David Novo , Abdoulaye Gamatié , Gilles Sassatelli

This paper presents an extension to an existing instruction set architecture, which gains considerable reduction in power consumption. The reduction in power consumption is achieved through coding of the most commonly executed instructions…

Hardware Architecture · Computer Science 2021-03-17 Bobby Sleeba , Mikael Collin , Mats Brorsson

Cryptographic computations are fundamental to modern computing, ensuring data confidentiality and integrity. However, these operations are highly vulnerable to power side-channel attacks that exploit variations in power consumption to leak…

Cryptography and Security · Computer Science 2026-02-25 Amisha Srivastava , Muskan Porwal , Kanad Basu

We investigate an approach that uses low-level analysis and the execution-cache-memory (ECM) performance model in combination with tuning of hardware parameters to lower energy requirements of memory-bound applications. The ECM model is…

Performance · Computer Science 2016-09-13 Johannes Hofmann , Dietmar Fey

Whilst RISC-V has become popular in fields such as embedded computing, it is yet to find mainstream success in High Performance Computing (HPC). However, the 64-core RISC-V Sophon SG2042 is a potential game changer as it provides a…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-17 Nick Brown , Christopher Day

Spiking Neural Network processing promises to provide high energy efficiency due to the sparsity of the spiking events. However, when realized on general-purpose hardware -- such as a RISC-V processor -- this promise can be undermined and…

Neural and Evolutionary Computing · Computer Science 2025-11-13 Wiktor J. Szczerek , Artur Podobas

FPGA overlays are commonly implemented as coarse-grained reconfigurable architectures with a goal to improve designers' productivity through balancing flexibility and ease of configuration of the underlying fabric. To truly facilitate full…

Hardware Architecture · Computer Science 2016-06-22 Ho-Cheung Ng , Cheng Liu , Hayden Kwok-Hay So

High-performance micro-kernels must fully exploit today's diverse and specialized hardware to deliver peak performance to DNNs. While higher-level optimizations for DNNs are offered by numerous compilers (e.g., MLIR, TVM, OpenXLA),…

This paper presents the interesting observation that by performing fewer of the optimizations available in a standard compiler optimization level such as -O2, while preserving their original ordering, significant savings can be achieved in…

Performance · Computer Science 2018-06-19 Kyriakos Georgiou , Craig Blackmore , Samuel Xavier-de-Souza , Kerstin Eder

The Sophon SG2042 is the world's first commodity 64-core RISC-V CPU for high performance workloads and an important question is whether the SG2042 has the potential to encourage the HPC community to embrace RISC-V. In this paper we…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-04 Nick Brown , Maurice Jamieson , Joseph Lee , Paul Wang

Subthreshold circuit designs are very much popular for some of the ultra low power applications, where the minimum energy consumption is the primary concern. But, due to the weak driving current, these circuits generally suffer from huge…

Hardware Architecture · Computer Science 2014-10-07 Dipankar Saha , Aanan Chatterjee , Sayan Chatterjee , C. K. Sarkar

Low-level sensory data processing in many Internet-of-Things (IoT) devices pursue energy efficiency by utilizing sleep modes or slowing the clocking to the minimum. To curb the share of stand-by power dissipation in those designs,…

Signal Processing · Electrical Eng. & Systems 2019-06-12 Mehdi Safarpour , Ilkka Hautala , Miguel Bordallo Lopez , Olli Silven
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