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Related papers: Limits to the Energy Efficiency of CMOS Microproce…

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An effective way to improve energy efficiency is to throttle hardware resources to meet a certain performance target, specified as a QoS constraint, associated with all applications running on a multicore system. Prior art has proposed…

Hardware Architecture · Computer Science 2019-11-14 Mehrzad Nejat , Madhavan Manivannan , Miquel Pericas , Per Stenstrom

It is now widely accepted that the CMOS technology implementing irreversible logic will hit a scaling limit beyond 2016, and that the increased power dissipation is a major limiting factor. Reversible computing can potentially require…

Information Theory · Computer Science 2007-07-13 P. Oscar Boykin , Vwani P. Roychowdhury

According to the International Technology Roadmap for Semiconductors in the next 10-15 years the limits imposed by the physics of switch operation will be the major roadblock for future scaling of the CMOS technology. Among these limits the…

Materials Science · Physics 2017-07-18 Luca Gammaitoni

Large power consumption of silicon CMOS electronics is a challenge in very-large-scale integrated circuits and a major roadblock to fault-tolerant quantum computation. Matching the power dissipation of Si-MOSFETs to the thermal budget at…

Understanding how much energy is needed and dissipated as heat for a given computational system and for a given program is a physically interesting and practically important problem. However, the thermodynamic costs of computational systems…

Statistical Mechanics · Physics 2023-08-31 Daigo Yoshino , Yasuhiro Tokura

Landauer's principle bounds the heat generated by logical operations, but in practice the thermodynamic cost of computation is dominated by the control systems that implement logic. CMOS gates dissipate energy far above the Landauer bound,…

Statistical Mechanics · Physics 2026-02-17 Stephen Whitelam

The energy cost of computation has emerged as a central challenge at the intersection of physics and computer science. Recent advances in statistical physics -- particularly in stochastic thermodynamics -- enable precise characterizations…

Statistical Mechanics · Physics 2025-10-07 Jinghao Lyu , Kyle J. Ray , James P. Crutchfield

Superconductor electronics (SCE) promise computer systems with orders of magnitude higher speeds and lower energy consumption than their complementary metal-oxide semiconductor (CMOS) counterparts. At the same time, the scalability and…

Emerging Technologies · Computer Science 2023-03-28 Jennifer Volk , George Tzimpragos , Alex Wynn , Evan Golden , Timothy Sherwood

The latest generation of transistors are nanoscale devices whose performance and reliability are limited by thermal noise in low-power applications. Therefore developing efficient methods to compute the voltage and current fluctuations in…

Statistical Mechanics · Physics 2022-12-20 Ashwin Gopal , Massimiliano Esposito , Nahuel Freitas

In modern low-power embedded platforms, floating-point (FP) operations emerge as a major contributor to the energy consumption of compute-intensive applications with large dynamic range. Experimental evidence shows that 50% of the energy…

Hardware Architecture · Computer Science 2017-11-29 Giuseppe Tagliavini , Stefan Mach , Davide Rossi , Andrea Marongiu , Luca Benini

As the scaling of conventional CMOS-based technologies slows down, there is growing interest in alternative technologies that can improve performance or energy-efficiency. Superconducting circuits based on Josephson Junction (JJ) is an…

Hardware Architecture · Computer Science 2019-02-15 Swamit S. Tannu , Poulami Das , Michael L. Lewis , Robert Krick , Douglas M. Carmean , Moinuddin K. Qureshi

Modern multiprocessor system-on-chips (SoCs) integrate multiple heterogeneous cores to achieve high energy efficiency. The power consumption of each core contributes to an increase in the temperature across the chip floorplan. In turn,…

Systems and Control · Computer Science 2018-06-19 Ganapati Bhat , Suat Gumussoy , Umit Y. Ogras

The fundamental problem considered in this paper is "What is the \textit{energy} consumed for the implementation of a \emph{compressive sensing} decoding algorithm on a circuit?". Using the "information-friction" framework, we examine the…

Information Theory · Computer Science 2015-02-17 Tongxin Li , Mayank Bakshi , Pulkit Grover

As the number of cores scales to tens and hundreds, the energy consumption of routers across various types of on-chip networks in chip muiltiprocessors (CMPs) increases significantly. A major source of this energy consumption comes from the…

Hardware Architecture · Computer Science 2021-12-09 Rachata Ausavarungnirun , Onur Mutlu

Modern multicore processors are employing large last-level caches, for example Intel's E7-8800 processor uses 24MB L3 cache. Further, with each CMOS technology generation, leakage energy has been dramatically increasing and hence, leakage…

Hardware Architecture · Computer Science 2013-10-17 Sparsh Mittal

Nowadays, improving the energy efficiency of high-performance computing (HPC) systems is one of the main drivers in scientific and technological research. As large-scale HPC systems require some fault-tolerant method, the opportunities to…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-15 Marina Moran , Javier Balladini , Dolores Rexachs , Enzo Rucci

Rapid CMOS device size reduction resulted in billions of transistors on a chip have led to integration of many cores leading to many challenges such as increased power dissipation, thermal dissipation, occurrence of transient faults and…

Hardware Architecture · Computer Science 2023-04-12 Shashikiran Venkatesha , Ranjani Parthasarathi

With the increasing digital services demand, performance and power-efficiency become vital requirements for digital circuits and systems. However, the enabling CMOS technology scaling has been facing significant challenges of device…

Hardware Architecture · Computer Science 2017-12-12 Yanxiang Huang

Power dissipation and energy consumption have become one of the most important problems in the design of processors today. This is especially true in power-constrained environments, such as embedded and mobile computing. While lowering the…

Hardware Architecture · Computer Science 2011-11-22 Sourya Roy , Tyler Clemons , S M Faisal , Ke Liu , Nikos Hardavellas , Srinivasan Parthasarathy

FPMax implements four FPUs optimized for latency or throughput workloads in two precisions, fabricated in 28nm UTBB FDSOI. Each unit's parameters, e.g pipeline stages, booth encoding etc., were optimized to yield 1.42ns latency at…

Hardware Architecture · Computer Science 2016-06-28 Jing Pu , Sameh Galal , Xuan Yang , Ofer Shacham , Mark Horowitz
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