Published July 31, 2022 | Version v1
Dataset Open

A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems

  • 1. American University of Beirut
  • 2. ETH Zürich

Description

Sequence alignment is a fundamentally memory bound computation whose performance in modern systems is limited by the memory bandwidth bottleneck. Processing-in-memory architectures alleviate this bottleneck by providing the memory with computing competencies. We propose Alignment-in-Memory (AIM), a framework for high-throughput sequence alignment using processing-in-memory, and evaluate it on UPMEM, the first publicly-available general-purpose programmable processing-in-memory system.

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