Invited: Accelerating Genome Analysis via Algorithm-Architecture Co-Design
Author:
Affiliation:
1. ETH,Zürich
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10247654/10247655/10247887.pdf?arnumber=10247887
Reference145 articles.
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2. AirLift: A Fast and Comprehensive Technique for Remapping Alignments between Reference Genomes;kim;APBC,2023
3. PolyPhred: automating the detection and genotyping of single nucleotide substitutions using fluorescence-based resequencing
4. Comparative Analysis of Human DNA Variations by Fluorescence-Based Sequencing of PCR Products
5. A fast bit-vector algorithm for approximate string matching based on dynamic programming
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1. A 65-nm RRAM Compute-in-Memory Macro for Genome Processing;IEEE Journal of Solid-State Circuits;2024-07
2. MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29
3. QUETZAL: Vector Acceleration Framework for Modern Genome Sequence Analysis Algorithms;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29
4. ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis;ACM Transactions on Architecture and Code Optimization;2023-12-28
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