B. Schmidt

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell, 2009, 2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors.

SPECTR: Scalable Parallel Short Read Error Correction on Multi-core and Many-core Architectures

Kai Xu, Xiangxu Meng, Bertil Schmidt, 2018, ICPP.

SNVSniffer: an integrated caller for germline and somatic single-nucleotide and indel mutations

Yongchao Liu, Srinivas Aluru, Bertil Schmidt, 2016, BMC Systems Biology.

SNVSniffer: An integrated caller for germline and somatic SNVs based on Bayesian models

Yongchao Liu, Srinivas Aluru, Bertil Schmidt, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Dedicated Bioinformatics Analysis Hardware

Bertil Schmidt, Andreas Hildebrandt, B. Schmidt, 2019, Encyclopedia of Bioinformatics and Computational Biology.

MetaCache: context-aware classification of metagenomic reads using minhashing

Bertil Schmidt, Andreas Hildebrandt, André Müller, 2017, Bioinform..

All-Food-Seq (AFS): a quantifiable screen for species in biological samples by deep DNA sequencing

B. Schmidt, Yongchao Liu, T. Hankeln, 2014, BMC Genomics.

mD3DOCKxb: An Ultra-Scalable CPU-MIC Coordinated Virtual Screening Framework

Kai Lu, Xiaoyu Zhang, Xiangke Liao, 2017, 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

MPI-HMMER-Boost: Distributed FPGA Acceleration

Bertil Schmidt, Xiandong Meng, John Paul Walters, 2007, J. VLSI Signal Process..

Combining message-passing and inter-process communication in SMP-hybrid cluster for efficient parallel medical image analysis

Bertil Schmidt, Sean C. S. Tan, B. Schmidt, 2004, SPIE Optics + Photonics.

Development of distributed bioinformatics applications with GMP

Bertil Schmidt, Lin Feng, Amey V. Laud, 2004, Concurr. Pract. Exp..

Parallel detection of regulatory elements with gMP

Bertil Schmidt, Lin Feng, Amey V. Laud, 2003, Proceedings International Parallel and Distributed Processing Symposium.

ParDRe: faster parallel duplicated reads removal tool for sequencing studies

Bertil Schmidt, Jorge González-Domínguez, B. Schmidt, 2016, Bioinform..

Accelerating metagenomic read classification on CUDA-enabled GPUs

B. Schmidt, Christian Hundt, André Müller, 2017, BMC Bioinformatics.

DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell, 2011, BMC Bioinformatics.

Accelerating molecular dynamics simulations using Graphics Processing Units with CUDA

Weiguo Liu, Bertil Schmidt, Gerrit Voss, 2008, Comput. Phys. Commun..

AnyDSL: a partial evaluation framework for programming high-performance libraries

Philipp Slusallek, Sebastian Hack, Richard Membarth, 2018, Proc. ACM Program. Lang..

Fast dendrogram-based OTU clustering using sequence embedding

Bertil Schmidt, Thuy-Diem Nguyen, Chee-Keong Kwoh, 2014, BCB.

General-purpose GPU hashing data structures and their application in accelerated genomics

B. Schmidt, Weiguo Liu, Christian Hundt, 2022, J. Parallel Distributed Comput..

A fast hybrid short read fragment assembly algorithm

Bertil Schmidt, Simon J. Puglisi, Bryan Beresford-Smith, 2009, Bioinform..

CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows-Wheeler transform

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell, 2012, Bioinform..

Using reconfigurable hardware to accelerate multiple sequence alignment with ClustalW

Bertil Schmidt, Douglas L. Maskell, Darran Nathan, 2005, Bioinform..

CellMinerHCC: a microarray‐based expression database for hepatocellular carcinoma cell lines

Bertil Schmidt, Timo Itzel, Thorsten Maass, 2014, Liver international : official journal of the International Association for the Study of the Liver.

Parallel mutual information estimation for inferring gene regulatory networks on GPUs

Weiguo Liu, Bertil Schmidt, Wolfgang Müller-Wittig, 2011, BMC Research Notes.

Deriving Matrix of Peptide-MHC Interactions in Diabetic Mouse by Genetic Algorithm

Lonce L. Wyse, Vladimir Brusic, Bertil Schmidt, 2005, IDEAL.

Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms

Vladimir Brusic, Bertil Schmidt, Lin Feng, 2007, BMC Bioinformatics.

Efficient Parallel Sort on AVX-512-Based Multi-Core and Many-Core Architectures

Bertil Schmidt, Hui Liu, Zekun Yin, 2019, 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

Parallel RNA secondary structure prediction using stochastic context‐free grammars

Tong Liu, Bertil Schmidt, B. Schmidt, 2005, Concurr. Comput. Pract. Exp..

Parallel Pairwise Epistasis Detection on Heterogeneous Computing Architectures

Sabela Ramos, Juan Touriño, Jorge González-Domínguez, 2016, IEEE Transactions on Parallel and Distributed Systems.

Parallelizing Epistasis Detection in GWAS on FPGA and GPU-Accelerated Computing Systems

Bertil Schmidt, Lars Wienbrandt, Manfred Schimmler, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

UPC++ for bioinformatics: A case study using genome-wide association studies

Bertil Schmidt, Lars Wienbrandt, Jorge González-Domínguez, 2014, 2014 IEEE International Conference on Cluster Computing (CLUSTER).

Hybrid CPU/GPU Acceleration of Detection of 2-SNP Epistatic Interactions in GWAS

Bertil Schmidt, Lars Wienbrandt, Jorge González-Domínguez, 2014, Euro-Par.

Efficient and Accurate OTU Clustering with GPU-Based Sequence Alignment and Dynamic Dendrogram Cutting

Bertil Schmidt, Thuy-Diem Nguyen, Chee-Keong Kwoh, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

HECTOR: a parallel multistage homopolymer spectrum based error corrector for 454 sequencing data

Yongchao Liu, Jan Schröder, Bertil Schmidt, 2014, BMC Bioinformatics.

CUDASW++: optimizing Smith-Waterman sequence database searches for CUDA-enabled graphics processing units

Yongchao Liu, Bertil Schmidt, Douglas L Maskell, 2009, BMC Research Notes.

GPU-ClustalW: Using Graphics Hardware to Accelerate Multiple Sequence Alignment

Weiguo Liu, Bertil Schmidt, Gerrit Voss, 2006, HiPC.

DeepFilter: A Deep Learning Based Variant Filter for VarDict

B. Schmidt, Weiguo Liu, Yanjie Wei, 2023, Tsinghua Science and Technology.

Suffix Array Construction on Multi-GPU Systems

Bertil Schmidt, Daniel Jünger, Christian Hundt, 2019, HPDC.

Parallel and Space-Efficient Construction of Burrows-Wheeler Transform and Suffix Array for Big Genome Data

Yongchao Liu, Bertil Schmidt, Thomas Hankeln, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Locality-sensitive hashing enables signal classification in high-throughput mass spectrometry raw data at scale

B. Schmidt, S. Tenzer, A. Hildebrandt, 2021, bioRxiv.

Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning

B. Schmidt, Yanjie Wei, Haidong Lan, 2022, IEEE Transactions on Parallel and Distributed Systems.

Constructing large suffix trees on a computational grid

Bertil Schmidt, Chunxi Chen, B. Schmidt, 2006, J. Parallel Distributed Comput..

Mapping of Genetic Algorithms for Protein Folding onto Computational Grids

Weiguo Liu, B. Schmidt, B. Schmidt, 2005, TENCON 2005 - 2005 IEEE Region 10 Conference.

Load Balancing for Hierarchical Grid Computing: A Case Study

Bertil Schmidt, Chunxi Chen, B. Schmidt, 2004, HiPC.

Long read alignment based on maximal exact match seeds

Yongchao Liu, Bertil Schmidt, B. Schmidt, 2012, Bioinform..

Losing Track by Tracking Speckles

B. Schmidt, J. Bauersachs, Christian Hundt, 2022 .

A 3D Deep Neural Network for Liver Volumetry in 3T Contrast-Enhanced MRI

Christian Stroszczynski, Bertil Schmidt, Frank K Wacker, 2020, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

Parallelized Clustering of Protein Structures on CUDA-Enabled GPUs

Bertil Schmidt, Andreas Hildebrandt, Hoang-Vu Dang, 2014, 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing.

High-speed exhaustive 3-locus interaction epistasis analysis on FPGAs

Bertil Schmidt, Lars Wienbrandt, Manfred Schimmler, 2015, J. Comput. Sci..

GPU-accelerated exhaustive search for third-order epistatic interactions in case-control studies

Bertil Schmidt, Jorge González-Domínguez, B. Schmidt, 2015, J. Comput. Sci..

rapidGSEA: Speeding up gene set enrichment analysis on multi-core CPUs and CUDA-enabled GPUs

Bertil Schmidt, Andreas Hildebrandt, Christian Hundt, 2016, BMC Bioinformatics.

Reconfigurable Accelerator for the Word-Matching Stage of BLASTN

Bertil Schmidt, Douglas L. Maskell, Yupeng Chen, 2013, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Mapping of BLASTP Algorithm onto GPU Clusters

Yongchao Liu, Weiguo Liu, Bertil Schmidt, 2011, 2011 IEEE 17th International Conference on Parallel and Distributed Systems.

High Speed Biological Sequence Analysis With Hidden Markov Models on Reconfigurable Platforms

Bertil Schmidt, Douglas L. Maskell, Timothy F. Oliver, 2009, IEEE Transactions on Information Technology in Biomedicine.

Biological Sequence Analysis with Hidden Markov Models on an FPGA

Bertil Schmidt, Douglas L. Maskell, Timothy F. Oliver, 2005, Asia-Pacific Computer Systems Architecture Conference.

Massively parallel solutions for molecular sequence analysis

Bertil Schmidt, Heiko Schröder, Manfred Schimmler, 2002, Proceedings 16th International Parallel and Distributed Processing Symposium.

LightSpMV: Faster CSR-based sparse matrix-vector multiplication on CUDA-enabled GPUs

Yongchao Liu, Bertil Schmidt, B. Schmidt, 2015, 2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

Accelerating short read mapping on an FPGA (abstract only)

Bertil Schmidt, Douglas L. Maskell, Yupeng Chen, 2012, FPGA '12.

CUDASW++2.0: enhanced Smith-Waterman protein database search on CUDA-enabled GPUs based on SIMT and virtualized SIMD abstractions

Yongchao Liu, Bertil Schmidt, Douglas L Maskell, 2010, BMC Research Notes.

ν-net: Deep Learning for Generalized Biventricular Mass and Function Parameters Using Multicenter Cardiac MRI Data.

Bertil Schmidt, Hinrich B Winther, Christian Hundt, 2018, JACC. Cardiovascular imaging.

$ν$-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters pdf

Bertil Schmidt, Christian Hundt, Frank K. Wacker, 2017, ArXiv.

A big data approach to metagenomics for all-food-sequencing

Tomás F. Pena, Andreas Hildebrandt, Juan C. Pichel, 2020, BMC Bioinformatics.

CUSHAW2-GPU: Empowering Faster Gapped Short-Read Alignment Using GPU Computing

Yongchao Liu, Bertil Schmidt, B. Schmidt, 2014, IEEE Design & Test.

GSWABE: faster GPU‐accelerated sequence alignment with optimal alignment retrieval for short DNA sequences

Yongchao Liu, Bertil Schmidt, B. Schmidt, 2015, Concurr. Comput. Pract. Exp..

CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions

Yongchao Liu, Bertil Schmidt, Adrianto Wirawan, 2013, BMC Bioinformatics.

Graphical Workflow System for Modification Calling by Machine Learning of Reverse Transcription Signatures

Bertil Schmidt, Andreas Hildebrandt, Mark Helm, 2019, Front. Genet..

Computing large-scale alignments on a multi-cluster

Bertil Schmidt, Chunxi Chen, B. Schmidt, 2003, 2003 Proceedings IEEE International Conference on Cluster Computing.

DySC: software for greedy clustering of 16S rRNA reads

Bertil Schmidt, Stefan Kramer, Zejun Zheng, 2012, Bioinform..

GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences

Weiguo Liu, Chen Chen, Bertil Schmidt, 2008, PRIB.

Fast Schedulability Analysis Using Commodity Graphics Hardware

Weiguo Liu, Bertil Schmidt, Samarjit Chakraborty, 2007, 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2007).

Parallel Pattern-Based Systems for Computational Biology: A Case Study

Weiguo Liu, Bertil Schmidt, B. Schmidt, 2006, IEEE Transactions on Parallel and Distributed Systems.

A case study on pattern-based systems for high performance computational biology

Weiguo Liu, Bertil Schmidt, B. Schmidt, 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

Techniques for algorithm design on the instruction systolic array

Bertil Schmidt, B. Schmidt, 1999 .

CUDA-accelerated protein electrostatics in linear space

B. Schmidt, A. Hildebrandt, Sebastian Hack, 2023, Journal of Computational Science.

Accomplishments and Challenges in High Performance Computing for Computational Biology

Feng Lin, Bertil Schmidt, Zhihua Du, 2006 .

Parallelized short read assembly of large genomes using de Bruijn graphs

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell, 2011, BMC Bioinformatics.

Millimeter-Scale and Billion-Atom Reactive Force Field Simulation on Sunway Taihulight

Weiguo Liu, Guangwen Yang, Wei Xue, 2020, IEEE Transactions on Parallel and Distributed Systems.

RabbitQCPlus 2.0: More Efficient and Versatile Quality Control for Sequencing Data.

B. Schmidt, B. Niu, Yanjie Wei, 2023, Methods.

RabbitQCPlus: More Efficient Quality Control for Sequencing Data

B. Schmidt, B. Niu, Weiguo Liu, 2022, IEEE International Conference on Bioinformatics and Biomedicine.

RabbitFX: Efficient Framework for FASTA/Q File Parsing on Modern Multi-Core Platforms

B. Schmidt, Weiguo Liu, Yanjie Wei, 2022, IEEE/ACM Transactions on Computational Biology & Bioinformatics.

RNACache: A scalable approach to rapid transcriptomic read mapping using locality sensitive hashing

B. Schmidt, André Müller, Stefan Niebler, 2022, J. Comput. Sci..

A big data approach to metagenomics for all-food-sequencing

T. F. Pena, Sören Lukas Hellmann, B. Schmidt, 2020, BMC Bioinformatics.

RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes Using MinHashing

Bertil Schmidt, Stefan Niebler, André Müller, 2021, ICCS.

CARE 2.0: reducing false-positive sequencing error corrections using machine learning

B. Schmidt, Felix Kallenborn, Julian Cascitti, 2022, BMC Bioinformatics.

CARE: context-aware sequencing read error correction

Bertil Schmidt, Andreas Hildebrandt, Felix Kallenborn, 2020, Bioinform..

RabbitQC: high-speed scalable quality control for sequencing data

Bertil Schmidt, Yanjie Wei, Haidong Lan, 2020, Bioinform..

MetaCache-GPU: Ultra-Fast Metagenomic Classification

Bertil Schmidt, Daniel Jünger, Christian Hundt, 2021, ICPP.

WarpCore: A Library for fast Hash Tables on GPUs pdf

Kai Xu, Bertil Schmidt, Daniel Jünger, 2020, 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC).

AFS: identification and quantification of species composition by metagenomic sequencing.

Sören Lukas Hellmann, B. Schmidt, Yongchao Liu, 2017, Bioinformatics.

RabbitMash: accelerating hash-based genome analysis on modern multi-core architectures

Weiguo Liu, Xiaoming Xu, Bertil Schmidt, 2020, Bioinform..

Fast and efficient short read mapping based on a succinct hash index

Weiguo Liu, Bertil Schmidt, Haowen Zhang, 2018, BMC Bioinformatics.

PUNAS: A Parallel Ungapped-Alignment-Featured Seed Verification Algorithm for Next-Generation Sequencing Read Alignment

Yongchao Liu, Kai Xu, Weiguo Liu, 2017, 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Accelerating metagenomic read classification on CUDA-enabled GPUs

Bertil Schmidt, André Müller, Christian Hundt, 2017, BMC Bioinformatics.

Large‐Scale Clustering of Short Reads for Metagenomics On GPUs

Chee Keong Kwoh, Bertil Schmidt, Thuy-Diem Nguyen, 2013 .

CLOVE: classification of genomic fusions into structural variation events

Jan Schröder, Bertil Schmidt, Anthony T. Papenfuss, 2017, BMC Bioinformatics.

Parallel algorithms for large-scale biological sequence alignment on Xeon-Phi based clusters

B. Schmidt, Weiguo Liu, Haidong Lan, 2016, BMC Bioinformatics.

SWhybrid: A Hybrid-Parallel Framework for Large-Scale Protein Sequence Database Search

Yongchao Liu, Weiguo Liu, Bertil Schmidt, 2017, 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Accelerating large-scale biological database search on Xeon Phi-based neo-heterogeneous architectures

Weiguo Liu, Bertil Schmidt, Bingqiang Wang, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

SWAPHI: Smith-waterman protein database search on Xeon Phi coprocessors

Yongchao Liu, Bertil Schmidt, B. Schmidt, 2014, 2014 IEEE 25th International Conference on Application-Specific Systems, Architectures and Processors.

Hyper customized processors for bio-sequence database scanning on FPGAs

Bertil Schmidt, Douglas L. Maskell, Timothy F. Oliver, 2005, FPGA '05.

Combining GPU and FPGA technology for efficient exhaustive interaction analysis in GWAS

Lars Wienbrandt, Manfred Schimmler, Jorge González-Domínguez, 2016, 2016 IEEE 27th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

cuBool: Bit-Parallel Boolean Matrix Factorization on CUDA-Enabled Accelerators

Bertil Schmidt, Stefan Kramer, André Müller, 2018, 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS).

CUDA-enabled Sparse Matrix-Vector Multiplication on GPUs using atomic operations

Bertil Schmidt, Hoang-Vu Dang, B. Schmidt, 2013, Parallel Comput..

An Ultrafast Scalable Many-Core Motif Discovery Algorithm for Multiple GPUs

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell, 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.

SHREC: a short-read error correction method

B. Schmidt, S. Puglisi, Ranjan Sinha, 2009, Bioinform..

Quality-score guided error correction for short-read sequencing data using CUDA

Weiguo Liu, Bertil Schmidt, Wolfgang Müller-Wittig, 2010, ICCS.

A Parallel Algorithm for Error Correction in High-Throughput Short-Read Data on CUDA-Enabled Graphics Hardware

Weiguo Liu, Bertil Schmidt, Wolfgang Müller-Wittig, 2010, J. Comput. Biol..

CUSHAW Suite: Parallel and Efficient Algorithms for NGS Read Alignment

Yongchao Liu, Bertil Schmidt, B. Schmidt, 2017, Algorithms for Next-Generation Sequencing Data.

Fully automated detection of primary sclerosing cholangitis (PSC)-compatible bile duct changes based on 3D magnetic resonance cholangiopancreatography using machine learning

M. Manns, B. Schmidt, F. Wacker, 2020, European Radiology.

CUSHAW3: Sensitive and Accurate Base-Space and Color-Space Short-Read Alignment with Hybrid Seeding

Yongchao Liu, Bertil Schmidt, Bernt Popp, 2014, PloS one.

Multi-Objective Evolutionary Algorithm for Discovering Peptide Binding Motifs

Vladimir Brusic, Bertil Schmidt, Menaka Rajapakse, 2006, EvoWorkshops.

Reconstruction of Low Energy Neutrino Events with GPUs at IceCube

Bertil Schmidt, Maicon Hieronymus, Sebastian Böser, 2020, ICCS.

Speed and accuracy improvement of higher-order epistasis detection on CUDA-enabled GPUs

Jorge González-Domínguez, Bertil Schmidt, Daniel Jünger, 2017, Cluster Computing.

Speed and accuracy improvement of higher-order epistasis detection on CUDA-enabled GPUs

B. Schmidt, Christian Hundt, Daniel Jünger, 2017, Cluster Computing.

Ultra-Fast Detection of Higher-Order Epistatic Interactions on GPUs

Jorge González-Domínguez, Bertil Schmidt, Daniel Jünger, 2016, Euro-Par Workshops.

Bit-parallel approximate pattern matching: Kepler GPU versus Xeon Phi

Yongchao Liu, Bertil Schmidt, Tuan Tu Tran, 2016, Parallel Comput..

CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows-Wheeler transform

B. Schmidt, D. Maskell, Yongchao Liu, 2012, Bioinform..

SWAPHI-LS: Smith-Waterman Algorithm on Xeon Phi coprocessors for Long DNA Sequences

Yongchao Liu, Bertil Schmidt, Tuan Tu Tran, 2014, 2014 IEEE International Conference on Cluster Computing (CLUSTER).

parSRA: A framework for the parallel execution of short read aligners on compute clusters

Jorge González-Domínguez, Bertil Schmidt, Christian Hundt, 2017, J. Comput. Sci..

Faster GPU-Accelerated Smith-Waterman Algorithm with Alignment Backtracking for Short DNA Sequences

Yongchao Liu, Bertil Schmidt, B. Schmidt, 2013, PPAM.

An FPGA aligner for short read mapping

Bertil Schmidt, Douglas L. Maskell, Yupeng Chen, 2012, 22nd International Conference on Field Programmable Logic and Applications (FPL).

Multiple protein sequence alignment with MSAProbs.

Yongchao Liu, Bertil Schmidt, B. Schmidt, 2014, Methods in molecular biology.

RabbitVar: ultra-fast and accurate somatic small-variant calling on multi-core architectures

B. Schmidt, B. Niu, Weiguo Liu, 2023, bioRxiv.

MetaTransformer: deep metagenomic sequencing read classification using self-attention models

B. Schmidt, André Müller, Daniel Jünger, 2023, NAR genomics and bioinformatics.

SHREC: a short-read error correction method

B. Schmidt, S. Puglisi, Ranjan Sinha, 2009, Bioinform..

CUDA-enabled hierarchical ward clustering of protein structures based on the nearest neighbour chain algorithm

Bertil Schmidt, Andreas Hildebrandt, Hoang-Vu Dang, 2016, Int. J. High Perform. Comput. Appl..

Unsupervised segmentation of continuous genomic data

William Stafford Noble, J. Stamatoyannopoulos, B. Schmidt, 2007, Bioinform..

Preattentive Colour Features by Steerable Filters

Bertil Schmidt, Gerald Sommer, Udo Mahlmeister, 1995, DAGM-Symposium.

Prediction of low coverage prone regions for Illumina sequencing projects using a support vector machine

Bertil Schmidt, Guillaume Bourque, Zejun Zheng, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Parallel Discovery of Transcription Factor Binding Sites

Bertil Schmidt, Adrianto Wirawan, B. Schmidt, 2006, APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems.

SWMapper: Scalable Read Mapper on SunWay TaihuLight

Weiguo Liu, Xiangxu Meng, Bertil Schmidt, 2020, ICPP.

The Sliced COO Format for Sparse Matrix-Vector Multiplication on CUDA-enabled GPUs

Bertil Schmidt, Hoang-Vu Dang, B. Schmidt, 2012, ICCS.

An area-efficient bit-serial integer and GF(2n) multiplier

Bertil Schmidt, Manfred Schimmler, Hans-Werner Lang, 2007 .

A bit-serial floating-point unit for a massively parallel system on a chip

Bertil Schmidt, Manfred Schimmler, Hans-Werner Lang, 2004, Parallel Algorithms Appl..

An Area-Efficient Bit-Serial Integer Multiplier

Bertil Schmidt, Manfred Schimmler, Hans-Werner Lang, 2003, VLSI.

Long Operand Arithmetic on Instruction Systolic Computer Architectures and Its Application in RSA Cryptography

Bertil Schmidt, Heiko Schröder, Manfred Schimmler, 1998, Euro-Par.

FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures

Xiaoning Wang, Bertil Schmidt, Yu Qiao, 2020, IEEE Transactions on Parallel and Distributed Systems.

ν-net: Deep Learning for Generalized Biventricular Mass and Function Parameters Using Multicenter Cardiac MRI Data.

B. Schmidt, F. Wacker, J. Bauersachs, 2018, JACC. Cardiovascular imaging.

BGSA: a bit-parallel global sequence alignment toolkit for multi-core and many-core architectures

Bertil Schmidt, Haidong Lan, Yuandong Chan, 2018, Bioinform..

MyPhi: Efficient Levenshtein Distance Computation on Xeon Phi Based Architectures

Bertil Schmidt, Shaoliang Peng, Haidong Lan, 2017, Current Bioinformatics.

Massively Parallel Huffman Decoding on GPUs

Bertil Schmidt, André Weißenberger, B. Schmidt, 2018, ICPP.

An adaptive grid implementation of DNA sequence alignment

Bertil Schmidt, Chunxi Chen, B. Schmidt, 2005, Future Gener. Comput. Syst..

Performance analysis of computational biology applications on hierarchical Grid systems

Bertil Schmidt, Chunxi Chen, B. Schmidt, 2004, IEEE International Symposium on Cluster Computing and the Grid, 2004. CCGrid 2004..

Mapping of Hierarchical Parallel Genetic Algorithms for Protein Folding onto Computational Grids

Weiguo Liu, Bertil Schmidt, B. Schmidt, 2006, IEICE Trans. Inf. Syst..

PheGeeatHome: A Grid-Based Tool for Comparative Genomics

Bertil Schmidt, Wayne Mitchell, Weiguo Liu, 2009 .

From GPUs to AI and quantum: three waves of acceleration in bioinformatics

B. Schmidt, Andreas Hildebrandt, 2024, Drug Discovery Today.

Integrating FPGA acceleration into HMMer

Bertil Schmidt, Timothy F. Oliver, Leow Yuan Yeow, 2008, Parallel Comput..

High Performance Database Searching with HMMer on FPGAs

Bertil Schmidt, Timothy F. Oliver, Leow Yuan Yeow, 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

CAREx: context-aware read extension of paired-end sequencing data

B. Schmidt, Felix Kallenborn, 2024, BMC Bioinformatics.

Molecular Dynamics Simulations on Commodity GPUs with CUDA

Weiguo Liu, Bertil Schmidt, Gerrit Voss, 2007, HiPC.

A fast hybrid short read fragment assembly algorithm

B. Schmidt, S. Puglisi, Ranjan Sinha, 2009, Bioinform..

Redesigning and Optimizing UCSF DOCK3.7 on Sunway TaihuLight

B. Schmidt, Guangwen Yang, Weiguo Liu, 2022, IEEE Transactions on Parallel and Distributed Systems.

Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA

Weiguo Liu, Bertil Schmidt, Wolfgang Müller-Wittig, 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.