7 citations · 12 across the 3 of their papers we have counts for
3 papers
FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching
Yaohua Wang, Lois Orosa, Xiangjun Peng +8
DRAM Main memory is a performance bottleneck for many applications due to the high access latency. In-DRAM caches work to mitigate this latency by augmenting regular-latency DRAM w…
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis
Damla Senol Cali, Gurpreet S. Kalsi, Zülal Bingöl +13
Genome sequence analysis has enabled significant advancements in medical and scientific areas such as personalized medicine, outbreak tracing, and the understanding of evolution. U…
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…