tag: energy efficiency

Lines Blurring Between Supercomputing And HPC
By Ann Mutschler - 27 Feb, 2025 - Comments: 0

Supercomputers and high-performance computers are becoming increasingly difficult to differentiate due to the proliferation of AI, which is driving huge performance increases in commercial and scientific applications and raising similar challenges for both. While the goals of supercomputing and high-performance computing (HPC) have always been similar — blazing fast processing — the mark... » read more

Maximizing Energy Efficiency in Subthreshold RISC-V Cores (NTNU)
By Technical Paper Link - 12 Feb, 2025 - Comments: 0

A new technical paper titled "Optimizing Energy Efficiency in Subthreshold RISC-V Cores" was published by researchers at Norwegian University of Science and Technology (NTNU). Abstract "Our goal in this paper is to understand how to maximize energy efficiency when designing standard-ISA processor cores for subthreshold operation. We hence develop a custom subthreshold library and use it to ... » read more

Critical Design Considerations For High-Bandwidth Chiplet Interconnects (TSMC)
By Technical Paper Link - 26 Nov, 2024 - Comments: 0

A new technical paper titled "High-Bandwidth Chiplet Interconnects for Advanced Packaging Technologies in AI/ML Applications: Challenges and Solutions" was published by researchers at TSMC. Abstract: "The demand for chiplet integration using 2.5D and 3D advanced packaging technologies has surged, driven by the exponential growth in computing performance required by Artificial Intelligence a... » read more

Direct-To-Chip Liquid-Cooled Data Centers (Binghamton, Nvidia)
By Technical Paper Link - 22 Nov, 2024 - Comments: 0

A new technical paper titled "Parameters of performance: A deep dive into liquid-to-air CDU assessment" was published by researchers at Binghamton University-SUNY and NVIDIA. Abstract: "The rapid growth in data center workloads and the increasing complexity of modern applications have led to significant contradictions between computational performance and thermal management. Traditional air... » read more

Energy Analysis: 2D and 3D Architectures with Systolic Arrays and CIM (Cornell)
By Technical Paper Link - 22 Oct, 2024 - Comments: 0

A new technical paper titled "Energy-/Carbon-Aware Evaluation and Optimization of 3D IC Architecture with Digital Compute-in-Memory Designs" was published by researchers at Cornell University. "In this paper, we investigate digital CIM (DCIM) macros and various 3D architectures to find the opportunity of increased energy efficiency compared to 2D structures. Moreover, we also investigated th... » read more

Complete Migration Guide for Arm-Based Cloud Workloads
By Arm - 16 Oct, 2024 - Comments: 0

Learn in three steps how to migrate your self-managed workloads to Arm virtual machines for superior price performance and energy efficiency across a wide range of applications. This guide covers the most common scenarios and provides links to additional resources. You will learn how to: -Plan your transition, survey your software stack, and understand your software dependencies. -Test, ... » read more

Review Paper: Challenges Required To Bring the Energy Consumption Down in Microelectronics (Rice, UC Berkeley, Georgia Tech, Et al.)
By Technical Paper Link - 06 Oct, 2024 - Comments: 0

A new review article titled "Roadmap on low-power electronics" by researchers at Rice University, UC Berkeley, Georgia Tech, TSMC, Intel, Harvard, et al. This roadmap to energy efficient electronics written by numerous collaborators covers materials, modeling, architectures, manufacturing, metrology and more. Find the technical paper here. September 2024. Ramamoorthy Ramesh, Sayeef Sal... » read more

GPU Microarchitecture Integrating Dedicated Matrix Units At The Cluster Level (UC Berkeley)
By Technical Paper Link - 27 Aug, 2024 - Comments: 0

A new technical paper titled "Virgo: Cluster-level Matrix Unit Integration in GPUs for Scalability and Energy Efficiency" was published by UC Berkeley. Abstract "Modern GPUs incorporate specialized matrix units such as Tensor Cores to accelerate GEMM operations central to deep learning workloads. However, existing matrix unit designs are tightly coupled to the SIMT core, limiting the size a... » read more

MTJ-Based CRAM Array
By Technical Paper Link - 01 Aug, 2024 - Comments: 0

A new technical paper titled "Experimental demonstration of magnetic tunnel junction-based computational random-access memory" was published by researchers at University of Minnesota and University of Arizona, Tucson. Abstract "The conventional computing paradigm struggles to fulfill the rapidly growing demands from emerging applications, especially those for machine intelligence because ... » read more

Efficient Electronics
By Andy Heinig - 16 May, 2024 - Comments: 0

Attention nowadays has turned to the energy consumption of systems that run on electricity. At the moment, the discussion is focused on electricity consumption in data centers: if this continues to rise at its current rate, it will account for a significant proportion of global electricity consumption in the future. Yet there are other, less visible electricity consumers whose power needs are a... » read more

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