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20152026
most citedShiftsReduce: Minimizing Shifts in Racetrack Memory 4.0

32 citations · 134 across the 34 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.AR2024★ 1 cited

Count2Multiply: Reliable In-Memory High-Radix Counting

João Paulo Cardoso de Lima, Benjamin Franklin Morris, Asif Ali Khan +2

Computing-in-memory (CIM) has been demonstrated across various memory technologies, ranging from memristive crossbars performing analog dot-product computations to large-scale digi…

eess.SY2024

PretVM: Predictable, Efficient Virtual Machine for Real-Time Concurrency

Shaokai Lin, Erling Jellum, Mirco Theile +10

This paper introduces the Precision-Timed Virtual Machine (PretVM), an intermediate platform facilitating the execution of quasi-static schedules compiled from a subset of programs…

cs.AR2024

A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach

Christian Pilato, Subhadeep Banik, Jakub Beranek +28

Modern big data workflows are characterized by computationally intensive kernels. The simulated results are often combined with knowledge extracted from AI models to ultimately sup…

cs.AR2024★ 8 cited

The Landscape of Compute-near-memory and Compute-in-memory: A Research and Commercial Overview

Asif Ali Khan, João Paulo C. De Lima, Hamid Farzaneh +1

In today's data-centric world, where data fuels numerous application domains, with machine learning at the forefront, handling the enormous volume of data efficiently in terms of t…

cs.AR2024★ 2 cited

Full-Stack Optimization for CAM-Only DNN Inference

João Paulo C. de Lima, Asif Ali Khan, Luigi Carro +1

The accuracy of neural networks has greatly improved across various domains over the past years. Their ever-increasing complexity, however, leads to prohibitively high energy deman…