269 citations · 1.1k across the 57 of their papers we have counts for
5 papers · 1 filter
A Workload and Programming Ease Driven Perspective of Processing-in-Memory
Saugata Ghose, Amirali Boroumand, Jeremie S. Kim +2
Many modern and emerging applications must process increasingly large volumes of data. Unfortunately, prevalent computing paradigms are not designed to efficiently handle such larg…
Enabling Practical Processing in and near Memory for Data-Intensive Computing
Onur Mutlu, Saugata Ghose, Juan Gómez-Luna +1
Modern computing systems suffer from the dichotomy between computation on one side, which is performed only in the processor (and accelerators), and data storage/movement on the ot…
Processing Data Where It Makes Sense: Enabling In-Memory Computation
Onur Mutlu, Saugata Ghose, Juan Gómez-Luna +1
Today's systems are overwhelmingly designed to move data to computation. This design choice goes directly against at least three key trends in systems that cause performance, scala…
Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study
Saugata Ghose, Tianshi Li, Nastaran Hajinazar +2
It has become increasingly difficult to understand the complex interaction between modern applications and main memory, composed of DRAM chips. Manufacturers are now selling and pr…
Dataplant: Enhancing System Security with Low-Cost In-DRAM Value Generation Primitives
Lois Orosa, Yaohua Wang, Ivan Puddu +13
DRAM manufacturers have been prioritizing memory capacity, yield, and bandwidth for years, while trying to keep the design complexity as simple as possible. DRAM chips do not carry…