activity
20202025
most citedHCM: Hardware-Aware Complexity Metric for Neural Network Architectures

18 citations · 21 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AR2025

An opportunity to improve Data Center Efficiency: Optimizing the Server's Upgrade Cycle

Panagiota Nikolaou, Freddy Gabbay, Jawad Haj-Yahya +1

This work aims to improve a data center's efficiency by optimizing the server upgrade plan: determine the optimal timing for replacing old servers with new ones. The opportunity pr…

cs.AR2024★ 1 cited

Teaching Experiences using the RVfpga Package

D. Chaver, S. Harris, L. Pinuel +13

The RVfpga course offers a solid introduction to computer architecture using the RISC-V instruction set and FPGA technology. It focuses on providing hands-on experience with real-w…

cs.LG2021★ 2 cited

Post-Training Sparsity-Aware Quantization

Gil Shomron, Freddy Gabbay, Samer Kurzum +1

Quantization is a technique used in deep neural networks (DNNs) to increase execution performance and hardware efficiency. Uniform post-training quantization (PTQ) methods are comm…

cs.AR2020

Asymmetric Aging Effect on Modern Microprocessors

Freddy Gabbay, Avi Mendelson

Reliability is a crucial requirement in any modern microprocessor to assure correct execution over its lifetime. As mission critical components are becoming common in commodity sys…

cs.AR2020

Electromigration-Aware Architecture for Modern Microprocessors

Freddy Gabbay, Avi Mendelson

Reliability is a fundamental requirement in any microprocessor to guarantee correct execution over its lifetime. The design rules related to reliability depend on the process techn…

cs.LG2020★ 18 cited

HCM: Hardware-Aware Complexity Metric for Neural Network Architectures

Alex Karbachevsky, Chaim Baskin, Evgenii Zheltonozhskii +4

Convolutional Neural Networks (CNNs) have become common in many fields including computer vision, speech recognition, and natural language processing. Although CNN hardware acceler…