Damla Senol Cali

Orcid: 0000-0002-3665-6285

According to our database1, Damla Senol Cali authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-efficient Genome Analysis.
ACM Trans. Archit. Code Optim., March, 2024

2023
Scrooge: a fast and memory-frugal genomic sequence aligner for CPUs, GPUs, and ASICs.
Bioinform., May, 2023

2022
GenStore: A High-Performance and Energy-Efficient In-Storage Computing System for Genome Sequence Analysis.
CoRR, 2022

FastRemap: a tool for quickly remapping reads between genome assemblies.
Bioinform., 2022

GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Algorithmic Improvement and GPU Acceleration of the GenASM Algorithm.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

GenStore: a high-performance in-storage processing system for genome sequence analysis.
Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021
FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications.
IEEE Micro, 2021

Accelerating Genome Sequence Analysis via Efficient Hardware/Algorithm Co-Design.
CoRR, 2021

2020
Accelerating Genome Analysis: A Primer on an Ongoing Journey.
IEEE Micro, 2020

Apollo: a sequencing-technology-independent, scalable and accurate assembly polishing algorithm.
Bioinform., 2020

GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2019
Demystifying Complex Workload-DRAM Interactions: An Experimental Study.
Proc. ACM Meas. Anal. Comput. Syst., 2019

AirLift: A Fast and Comprehensive Technique for Remapping Alignments between Reference Genomes.
CoRR, 2019

Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study.
CoRR, 2019

Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions.
Briefings Bioinform., 2019

2018
GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies.
BMC Genom., 2018


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