11 citations · 18 across the 9 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.DC2018★ 1 cited
AIDA: Associative DNN Inference Accelerator
Leonid Yavits, Roman Kaplan, Ran Ginosar
We propose AIDA, an inference engine for accelerating fully-connected (FC) layers of Deep Neural Network (DNN). AIDA is an associative in-memory processor, where the bulk of data n…
q-bio.GN2018
RASSA: Resistive Pre-Alignment Accelerator for Approximate DNA Long Read Mapping
Roman Kaplan, Leonid Yavits, Ran Ginosar
DNA read mapping is a computationally expensive bioinformatics task, required for genome assembly and consensus polishing. It requires to find the best-fitting location for each DN…
cs.AR2018
PRINS: Resistive CAM Processing in Storage
Leonid Yavits, Roman Kaplan, Ran Ginosar
Near-data in-storage processing research has been gaining momentum in recent years. Typical processing-in-storage architecture places a single or several processing cores inside th…