KrakenOnMem

Author:

Shahroodi Taha1,Zahedi Mahdi1,Singh Abhairaj1,Wong Stephan1,Hamdioui Said1

Affiliation:

1. TU Delft, Delft, Netherlands

Publisher

ACM

Reference93 articles.

1. S. Aga , S. Jeloka , A. Subramaniyan , S. Narayanasamy , D. Blaauw , and R. Das , " Compute Caches," in HPCA , 2017 . S. Aga, S. Jeloka, A. Subramaniyan, S. Narayanasamy, D. Blaauw, and R. Das, "Compute Caches," in HPCA, 2017.

2. M. Alser , T. Shahroodi , J. Gomez-Luna , C. Alkan , and O. Mutlu , " SneakySnake: A Fast and Accurate Universal Genome Pre-Alignment Filter for CPUs, GPUs, and FPGAs," Bioinformatics , 2020 . M. Alser, T. Shahroodi, J. Gomez-Luna, C. Alkan, and O. Mutlu, "SneakySnake: A Fast and Accurate Universal Genome Pre-Alignment Filter for CPUs, GPUs, and FPGAs," Bioinformatics, 2020.

3. A. Ankit , I. E. Hajj , S. R. Chalamalasetti , G. Ndu , M. Foltin , R. S. Williams , P. Faraboschi , W.-m. W. Hwu , J. P. Strachan , K. Roy et al., "PUMA: A programmable ultra-efficient memristor-based accelerator for machine learning inference," in ASPLOS , 2019 . A. Ankit, I. E. Hajj, S. R. Chalamalasetti, G. Ndu, M. Foltin, R. S. Williams, P. Faraboschi, W.-m. W. Hwu, J. P. Strachan, K. Roy et al., "PUMA: A programmable ultra-efficient memristor-based accelerator for machine learning inference," in ASPLOS, 2019.

4. S. S. Banerjee , M. El-Hadedy , J. B. Lim , Z. T. Kalbarczyk , D. Chen , S. S. Lumetta , and R. K. Iyer , "Asap: Accelerated short-read alignment on programmable hardware" IEEE Transactions on Computers , 2018 . S. S. Banerjee, M. El-Hadedy, J. B. Lim, Z. T. Kalbarczyk, D. Chen, S. S. Lumetta, and R. K. Iyer, "Asap: Accelerated short-read alignment on programmable hardware" IEEE Transactions on Computers, 2018.

5. Barba M Czosnek H and Hadidi A "Cost in US Dollars per Raw Megabase of DNA Sequence " https://www.genome.gov/about-genomics/fact-sheets/DNA-Sequencing-Costs-Data. Barba M Czosnek H and Hadidi A "Cost in US Dollars per Raw Megabase of DNA Sequence " https://www.genome.gov/about-genomics/fact-sheets/DNA-Sequencing-Costs-Data.

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1. ClaPIM: Scalable Sequence Classification Using Processing-in-Memory;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2023-09

2. An Overview of Computation-in-Memory (CIM) Architectures;Design and Applications of Emerging Computer Systems;2023-08-17

3. SieveMem: A Computation-in-Memory Architecture for Fast and Accurate Pre-Alignment;2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP);2023-07

4. Lightspeed Binary Neural Networks using Optical Phase-Change Materials;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04

5. Efficient Signed Arithmetic Multiplication on Memristor-Based Crossbar;IEEE Access;2023

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