activity
20172026
most citedImproving DRAM Performance by Parallelizing Refreshes with Accesses

150 citations · 150 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2026

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory

Zahra Yousefijamarani, Alaa Alameldeen

Transformers are widely used across many domains, including natural language processing, computer vision, web search, and DNA sequence analysis. Given their broad applicability, im…

cs.AR2025

DL-PIM: Improving Data Locality in Processing-in-Memory Systems

Parker Hao Tian, Zahra Yousefijamarani, Alaa Alameldeen

PIM architectures aim to reduce data transfer costs between processors and memory by integrating processing units within memory layers. Prior PIM architectures have shown potential…

cs.CR2025

AMuLeT: Automated Design-Time Testing of Secure Speculation Countermeasures

Bo Fu, Leo Tenenbaum, David Adler +7

In recent years, several hardware-based countermeasures proposed to mitigate Spectre attacks have been shown to be insecure. To enable the development of effective secure speculati…

cs.AR2020

Speculative Interference Attacks: Breaking Invisible Speculation Schemes

Mohammad Behnia, Prateek Sahu, Riccardo Paccagnella +13

Recent security vulnerabilities that target speculative execution (e.g., Spectre) present a significant challenge for processor design. The highly publicized vulnerability uses spe…

cs.AR2018

Reducing DRAM Refresh Overheads with Refresh-Access Parallelism

K. K. Chang, D. Lee, Z. Chishti +4

This article summarizes the idea of "refresh-access parallelism," which was published in HPCA 2014, and examines the work's significance and future potential. The overarching objec…

cs.AR2017150 cited

Improving DRAM Performance by Parallelizing Refreshes with Accesses

Kevin K. Chang, Donghyuk Lee, Zeshan Chishti +4

Modern DRAM cells are periodically refreshed to prevent data loss due to leakage. Commodity DDR DRAM refreshes cells at the rank level. This degrades performance significantly beca…