Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU-Reference-Cited by-同舟云学术

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Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU

Published:2023-11-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
language:
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Author:

Burchard Luk¹^ORCID,Zhao Max Xiaohang²^ORCID,Langguth Johannes¹³^ORCID,Buluç Aydın⁴⁵^ORCID,Guidi Giulia⁶^ORCID

Affiliation:

1. Simula Research Laboratory, Oslo, Norway

2. Charité Universitätsmedizin Berlin, Berlin, Germany

3. University of Bergen, Oslo, Norway

4. Lawrence Berkeley National Laboratory, Berkeley, United States of America

5. University of California, Berkeley, Berkeley, USA

6. Cornell University, Ithaca, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581784.3607094

Reference52 articles.

1. Technology dictates algorithms: recent developments in read alignment

2. Basic local alignment search tool

3. Opportunities and challenges in long-read sequencing data analysis

4. Sequence Alignment in Molecular Biology

5. ADEPT: a domain independent sequence alignment strategy for gpu architectures

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. iPuma: High-Performance Sequence Alignment on the Graphcore IPU;ISC High Performance 2024 Research Paper Proceedings (39th International Conference);2024-05

2. PQDE: Comprehensive Progressive Quantization with Discretization Error for Ultra-Low Bitrate MobileNet towards Low-Resolution Imagery;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22

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