tag: energy efficiency

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

Optimizing Energy At The System Level
By Brian Bailey - 18 Mar, 2024 - Comments: 0

Power is a ubiquitous concern, and it is impossible to optimize a system's energy consumption without considering the system as a whole. Tremendous strides have been made in the optimization of a hardware implementation, but that is no longer enough. The complete system must be optimized. There are far reaching implications to this, some of which are driving the path toward domain-specific c... » read more

Re-architecting Hardware For Energy
By Brian Bailey - 15 Feb, 2024 - Comments: 0

A lot of effort has gone into the power optimization of a system based on the RTL created, but that represents a small fraction of the possible power and energy that could be saved. The industry's desire to move to denser systems is being constrained by heat, so there is an increasing focus on re-architecting systems to reduce the energy consumed per useful function performed. Making signifi... » read more

Increasing AI Energy Efficiency With Compute In Memory
By Katherine Derbyshire - 16 Nov, 2023 - Comments: 0

Skyrocketing AI compute workloads and fixed power budgets are forcing chip and system architects to take a much harder look at compute in memory (CIM), which until recently was considered little more than a science project. CIM solves two problems. First, it takes more energy to move data back and forth between memory and processor than to actually process it. And second, there is so much da... » read more

Energy Usage in Layers Of Computing (SLAC)
By Technical Paper Link - 19 Oct, 2023 - Comments: 0

A technical paper titled “Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Machine Learning for Natural Language Processing, Scientific Computing, and Cryptocurrency Mining” was published by researchers at SLAC National Laboratory and Stanford University. Abstract: "Estimates of energy usage in layers of computing from devices to algorithms have bee... » read more

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