13 citations · 57 across the 75 of their papers we have counts for
4 papers · 2 filters
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…
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…
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…