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20132026
most citedA Resistive CAM Processing-in-Storage Architecture for DNA Sequence Alignment

82 citations · 193 across the 24 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.AR2017★ 11 cited

Sparse Matrix Multiplication on CAM Based Accelerator

Leonid Yavits, Ran Ginosar

Sparse matrix multiplication is an important component of linear algebra computations. In this paper, an architecture based on Content Addressable Memory (CAM) and Resistive Conten…

cs.MS2017★ 1 cited

Sparse Matrix Multiplication On An Associative Processor

L. Yavits, A. Morad, R. Ginosar

Sparse matrix multiplication is an important component of linear algebra computations. Implementing sparse matrix multiplication on an associative processor (AP) enables high level…

cs.AR2017★ 1 cited

Cache Hierarchy Optimization

Leonid Yavits, Amir Morad, Ran Ginosar

Power consumption, off-chip memory bandwidth, chip area and Network on Chip (NoC) capacity are among main chip resources limiting the scalability of Chip Multiprocessors (CMP). A c…

cs.AR2017

The Effect of Temperature on Amdahl Law in 3D Multicore Era

Leonid Yavits, Amir Morad, Ran Ginosar

This work studies the influence of temperature on performance and scalability of 3D Chip Multiprocessors (CMP) from Amdahl law perspective. We find that 3D CMP may reach its therma…

cs.AR2017

MultiAmdahl: Optimal Resource Allocation in Heterogeneous Architectures

Leonid Yavits, Amir Morad, Uri Weiser +1

Future multiprocessor chips will integrate many different units, each tailored to a specific computation. When designing such a system, the chip architect must decide how to distri…

cs.ET2017★ 82 cited

A Resistive CAM Processing-in-Storage Architecture for DNA Sequence Alignment

Roman Kaplan, Leonid Yavits, Ran Ginosar +1

A novel processing-in-storage (PRinS) architecture based on Resistive CAM (ReCAM) is described and proposed for Smith-Waterman (S-W) sequence alignment. The ReCAM massively-paralle…