13 citations · 57 across the 75 of their papers we have counts for
7 papers · 1 filter
PULSAR: Simultaneous Many-Row Activation for Reliable and High-Performance Computing in Off-the-Shelf DRAM Chips
Ismail Emir Yuksel, Yahya Can Tugrul, F. Nisa Bostanci +8
Data movement between the processor and the main memory is a first-order obstacle against improving performance and energy efficiency in modern systems. To address this obstacle, P…
SimplePIM: A Software Framework for Productive and Efficient Processing-in-Memory
Jinfan Chen, Juan Gómez-Luna, Izzat El Hajj +2
Data movement between memory and processors is a major bottleneck in modern computing systems. The processing-in-memory (PIM) paradigm aims to alleviate this bottleneck by performi…
Evaluating Homomorphic Operations on a Real-World Processing-In-Memory System
Harshita Gupta, Mayank Kabra, Juan Gómez-Luna +2
Computing on encrypted data is a promising approach to reduce data security and privacy risks, with homomorphic encryption serving as a facilitator in achieving this goal. In this…
Read Disturbance in High Bandwidth Memory: A Detailed Experimental Study on HBM2 DRAM Chips
Ataberk Olgun, Majd Osseiran, Abdullah Giray Yaglikci +6
We experimentally demonstrate the effects of read disturbance (RowHammer and RowPress) and uncover the inner workings of undocumented read disturbance defense mechanisms in High Ba…
DaPPA: A Unified Data-Parallel Programming Framework for Efficient Processing-in-Memory Execution
Geraldo F. Oliveira, Alain Kohli, David Novo +5
Processing-in-memory (PIM) alleviates data-movement bottlenecks by placing computation near or inside memory. Two general-purpose PIM paradigms are now practical: processing-near-m…
ABACuS: All-Bank Activation Counters for Scalable and Low Overhead RowHammer Mitigation
Ataberk Olgun, Yahya Can Tugrul, Nisa Bostanci +6
We introduce ABACuS, a new low-cost hardware-counter-based RowHammer mitigation technique that performance-, energy-, and area-efficiently scales with worsening RowHammer vulnerabi…
Retrospective: A Scalable Processing-in-Memory Accelerator for Parallel Graph Processing
Junwhan Ahn, Sungpack Hong, Sungjoo Yoo +2
Our ISCA 2015 paper provides a new programmable processing-in-memory (PIM) architecture and system design that can accelerate key data-intensive applications, with a focus on graph…