Joël Lindegger | DeepAI

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∙ 06/29/2023

RowPress: Amplifying Read Disturbance in Modern DRAM Chips

Memory isolation is critical for system reliability, security, and safet...

0 Haocong Luo, et al. ∙

∙ 12/09/2022

TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering

Basecalling is an essential step in nanopore sequencing analysis where t...

0 Meryem Banu Cavlak, et al. ∙

∙ 08/21/2022

Scrooge: A Fast and Memory-Frugal Genomic Sequence Aligner for CPUs, GPUs, and ASICs

Motivation: Pairwise sequence alignment is a very time-consuming step in...

0 Joël Lindegger, et al. ∙

∙ 07/20/2022

ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis

Profile hidden Markov models (pHMMs) are widely used in many bioinformat...

20 Can Firtina, et al. ∙

∙ 05/16/2022

Going From Molecules to Genomic Variations to Scientific Discovery: Intelligent Algorithms and Architectures for Intelligent Genome Analysis

We now need more than ever to make genome analysis more intelligent. We ...

0 Mohammed Alser, et al. ∙

∙ 05/12/2022

SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping

A critical step of genome sequence analysis is the mapping of sequenced ...

0 Damla Senol Cali, et al. ∙

∙ 03/28/2022

Algorithmic Improvement and GPU Acceleration of the GenASM Algorithm

We improve on GenASM, a recent algorithm for genomic sequence alignment,...

0 Joël Lindegger, et al. ∙

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