Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZaid Al-Ars
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[i27]Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee:
SaLoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs. CoRR abs/2301.09310 (2023)- 2022
- [j26]Lukas Breitwieser
, Ahmad Hesam, Jean de Montigny, Vasileios Vavourakis, Alexandros Iosif, Jack Jennings, Marcus Kaiser, Marco Manca, Alberto Di Meglio, Zaid Al-Ars, Fons Rademakers, Onur Mutlu, Roman Bauer:
BioDynaMo: a modular platform for high-performance agent-based simulation. Bioinform. 38(2): 453-460 (2022) - [c120]Aritra Sarkar, Zaid Al-Ars, Koen Bertels:
QKSA: Quantum Knowledge Seeking Agent. AGI 2022: 384-393 - [c119]Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars:
Improving Gradient Paths for Binary Convolutional Neural Networks. BMVC 2022: 281 - [c118]David Enthoven, Zaid Al-Ars:
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning. IOTSMS 2022: 1-8 - [c117]Robin Abrahamse, Ákos Hadnagy, Zaid Al-Ars:
Memory-Disaggregated In-Memory Object Store Framework for Big Data Applications. IPDPS Workshops 2022: 1-7 - [c116]Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee:
SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs. IPDPS 2022: 728-738 - [c115]Tanveer Ahmad, Chengxin Ma, Zaid Al-Ars, H. Peter Hofstee:
Communication-Efficient Cluster Scalable Genomics Data Processing Using Apache Arrow Flight. ISPDC 2022: 138-146 - [i26]C. V. Vletter, H. L. Burger, Hani Alers, N. Sourlos, Zaid Al-Ars:
Towards an Automatic Diagnosis of Peripheral and Central Palsy Using Machine Learning on Facial Features. CoRR abs/2201.11852 (2022) - [i25]Tanveer Ahmad, Zaid Al-Ars, H. Peter Hofstee:
Benchmarking Apache Arrow Flight - A wire-speed protocol for data transfer, querying and microservices. CoRR abs/2204.03032 (2022) - [i24]Robin Abrahamse, Ákos Hadnagy, Zaid Al-Ars:
Memory-Disaggregated In-Memory Object Store Framework for Big Data Applications. CoRR abs/2204.12889 (2022) - [i23]Huub Donkers, Koen Mesman, Zaid Al-Ars, Matthias Möller:
QPack Scores: Quantitative performance metrics for application-oriented quantum computer benchmarking. CoRR abs/2205.12142 (2022) - [i22]Yongding Tian, Matthijs A. Reukers, Zaid Al-Ars, H. Peter Hofstee, Matthijs Brobbel, Johan Peltenburg, Jeroen van Straten:
Tydi-lang: A Language for Typed Streaming Hardware. CoRR abs/2212.06259 (2022) - [i21]Yongding Tian, Zaid Al-Ars, H. Peter Hofstee:
Tydi-lang: a language for typed streaming hardware - A manual for future Tydi-lang compiler developers. CoRR abs/2212.11154 (2022) - [i20]Matthijs A. Reukers, H. Peter Hofstee, Zaid Al-Ars:
A Toolchain for Streaming Dataflow Accelerator Designs for Big Data Analytics: Defining an IR for Composable Typed Streaming Dataflow Designs. CoRR abs/2212.12003 (2022) - 2021
- [j25]Johan Peltenburg, Jeroen van Straten, Matthijs Brobbel, Zaid Al-Ars, H. Peter Hofstee:
Generating High-Performance FPGA Accelerator Designs for Big Data Analytics with Fletcher and Apache Arrow. J. Signal Process. Syst. 93(5): 565-586 (2021) - [c114]Johan Peltenburg, Ákos Hadnagy, Matthijs Brobbel, Robert Morrow, Zaid Al-Ars:
Tens of gigabytes per second JSON-to-Arrow conversion with FPGA accelerators. FPT 2021: 1-9 - [c113]Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars:
An Attention Module for Convolutional Neural Networks. ICANN (1) 2021: 167-178 - [c112]Joost Hoozemans, Kati Tervo, Pekka Jääskeläinen, Zaid Al-Ars:
Energy Efficient Multistandard Decompressor ASIP. ICCDE 2021: 14-19 - [c111]Baozhou Zhu, H. Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars:
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression. IJCAI 2021: 3470-3476 - [c110]Jianyu Chen, Maurice Daverveldt, Zaid Al-Ars:
FPGA Acceleration of Zstd Compression Algorithm. IPDPS Workshops 2021: 188-191 - [c109]Ahmad Hesam, Lukas Breitwieser, Fons Rademakers, Zaid Al-Ars:
GPU Acceleration of 3D Agent-Based Biological Simulations. IPDPS Workshops 2021: 210-217 - [c108]Petros Arvanitis, Jan-Harm L. F. Betting, Laurens W. J. Bosman, Zaid Al-Ars, Christos Strydis:
WhiskEras 2.0: Fast and Accurate Whisker Tracking in Rodents. SAMOS 2021: 210-225 - [i19]David Enthoven, Zaid Al-Ars:
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning. CoRR abs/2101.00159 (2021) - [i18]A. M. Krol, Aritra Sarkar, Imran Ashraf, Zaid Al-Ars, Koen Bertels:
Efficient decomposition of unitary matrices in quantum circuit compilers. CoRR abs/2101.02993 (2021) - [i17]Koen Mesman, Zaid Al-Ars, Matthias Möller:
QPack: Quantum Approximate Optimization Algorithms as universal benchmark for quantum computers. CoRR abs/2103.17193 (2021) - [i16]Ahmad Hesam, Lukas Breitwieser, Fons Rademakers, Zaid Al-Ars:
GPU Acceleration of 3D Agent-Based Biological Simulations. CoRR abs/2105.00039 (2021) - [i15]Baozhou Zhu, H. Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars:
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression. CoRR abs/2105.12151 (2021) - [i14]Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars:
An Attention Module for Convolutional Neural Networks. CoRR abs/2108.08205 (2021) - [i13]Yongding Tian, Zhuoran Guo, Jiaxuan Zhang, Zaid Al-Ars:
DFL: High-Performance Blockchain-Based Federated Learning. CoRR abs/2110.15457 (2021) - [i12]Aritra Sarkar, Zaid Al-Ars, Harshitta Gandhi, Koen Bertels:
QKSA: Quantum Knowledge Seeking Agent - resource-optimized reinforcement learning using quantum process tomography. CoRR abs/2112.03643 (2021) - 2020
- [j24]Rene Miedema, Georgios Smaragdos, Mario Negrello, Zaid Al-Ars, Matthias Möller, Christos Strydis:
flexHH: A Flexible Hardware Library for Hodgkin-Huxley-Based Neural Simulations. IEEE Access 8: 121905-121919 (2020) - [j23]Baozhou Zhu, Zaid Al-Ars, H. Peter Hofstee:
REAF: Reducing Approximation of Channels by Reducing Feature Reuse Within Convolution. IEEE Access 8: 169957-169965 (2020) - [j22]Nauman Ahmed, Tong Dong Qiu, Koen Bertels, Zaid Al-Ars:
GPU acceleration of Darwin read overlapper for de novo assembly of long DNA reads. BMC Bioinform. 21-S(13): 388 (2020) - [j21]Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee:
Optimizing performance of GATK workflows using Apache Arrow In-Memory data framework. BMC Genom. 21(S-10) (2020) - [j20]Johan Peltenburg, Jeroen van Straten, Matthijs Brobbel, Zaid Al-Ars, H. Peter Hofstee:
Tydi: An Open Specification for Complex Data Structures Over Hardware Streams. IEEE Micro 40(4): 120-130 (2020) - [j19]Michiel A. van der Vlag, Georgios Smaragdos, Zaid Al-Ars, Christos Strydis:
Exploring Complex Brain-Simulation Workloads on Multi-GPU Deployments. ACM Trans. Archit. Code Optim. 16(4): 53:1-53:25 (2020) - [j18]Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H. Peter Hofstee:
An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic. J. Signal Process. Syst. 92(9): 931-947 (2020) - [c107]Luigi Pomante, Francesca Palumbo, Claudia Rinaldi, Giacomo Valente, Carlo Sau, Tiziana Fanni, Frank van der Linden, Twan Basten, Marc Geilen, Geran Peeren, Jirí Kadlec, Pekka Jääskeläinen, Marcos Martinez de Alejandro, Jukka Saarinen, Tero Säntti, Maria Katiuscia Zedda, Victor Sanchez, Dip Goswami, Zaid Al-Ars, Ad de Beer:
Design and management of image processing pipelines within CPS: 2 years of experience from the FitOptiVis ECSEL Project. DSD 2020: 378-385 - [c106]Baozhou Zhu, Zaid Al-Ars, Wei Pan:
Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation. ECAI 2020: 1730-1737 - [c105]Rene Miedema, Georgios Smaragdos, Mario Negrello, Zaid Al-Ars, Matthias Möller, Christos Strydis:
Synthesis-Free, Flexible and Fast Hardware Library for Biophysically Plausible Neurosimulations. FPGA 2020: 319 - [c104]Johan Peltenburg, Lars T. J. van Leeuwen, Joost Hoozemans, Jian Fang, Zaid Al-Ars, H. Peter Hofstee:
Battling the CPU Bottleneck in Apache Parquet to Arrow Conversion Using FPGA. FPT 2020: 281-286 - [c103]Baozhou Zhu, Zaid Al-Ars, H. Peter Hofstee:
NASB: Neural Architecture Search for Binary Convolutional Neural Networks. IJCNN 2020: 1-8 - [c102]Jan-Harm L. F. Betting, Vincenzo Romano, Laurens W. J. Bosman, Zaid Al-Ars, Chris I. De Zeeuw, Christos Strydis:
Stairway to Abstraction: an Iterative Algorithm for Whisker Detection in Video Frames. LASCAS 2020: 1-4 - [c101]Lennart Noordsij, Steven van der Vlugt, Mohamed A. Bamakhrama, Zaid Al-Ars, Peter Lindstrom:
Parallelization of Variable Rate Decompression through Metadata. PDP 2020: 245-252 - [i11]David Enthoven, Zaid Al-Ars:
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies. CoRR abs/2004.04676 (2020) - [i10]Aritra Sarkar, Zaid Al-Ars, Koen Bertels:
QuASeR - Quantum Accelerated De Novo DNA Sequence Reconstruction. CoRR abs/2004.05078 (2020) - [i9]Paul Bakker, Henk-Jan Boele, Zaid Al-Ars, Christos Strydis:
Real-Time Face and Landmark Localization for Eyeblink Detection. CoRR abs/2006.00816 (2020) - [i8]Aritra Sarkar, Zaid Al-Ars, Koen Bertels:
Quantum Accelerated Estimation of Algorithmic Information. CoRR abs/2006.00987 (2020) - [i7]Lukas Breitwieser, Ahmad Hesam, Jean de Montigny, Vasileios Vavourakis, Alexandros Iosif, Jack Jennings, Marcus Kaiser, Marco Manca, Alberto Di Meglio, Zaid Al-Ars, Fons Rademakers, Onur Mutlu, Roman Bauer:
BioDynaMo: an agent-based simulation platform for scalable computational biology research. CoRR abs/2006.06775 (2020) - [i6]Baozhou Zhu, Zaid Al-Ars, H. Peter Hofstee:
NASB: Neural Architecture Search for Binary Convolutional Neural Networks. CoRR abs/2008.03515 (2020) - [i5]Baozhou Zhu, Zaid Al-Ars, Wei Pan:
Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation. CoRR abs/2008.03520 (2020) - [i4]Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars:
SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks. CoRR abs/2009.05317 (2020) - [i3]Stefan Zwaard, Henk-Jan Boele, Hani Alers, Christos Strydis, Casey Lew-Williams, Zaid Al-Ars:
Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning. CoRR abs/2010.07259 (2020)
2010 – 2019
- 2019
- [j17]Nauman Ahmed, Jonathan Levy, Shanshan Ren, Hamid Mushtaq, Koen Bertels, Zaid Al-Ars:
GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data. BMC Bioinform. 20(1): 520:1-520:20 (2019) - [j16]Nauman Ahmed, Jonathan Levy, Shanshan Ren, Hamid Mushtaq, Koen Bertels, Zaid Al-Ars:
Correction to: GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data. BMC Bioinform. 20(1): 597:1-597:4 (2019) - [j15]Shanshan Ren, Nauman Ahmed, Koen Bertels, Zaid Al-Ars:
GPU accelerated sequence alignment with traceback for GATK HaplotypeCaller. BMC Genom. 20(S2) (2019) - [j14]Mahroo Zandrahimi, Philippe Debaud, Armand Castillejo, Zaid Al-Ars:
Evaluation of the Impact of Technology Scaling on Delay Testing for Low-Cost AVS. J. Electron. Test. 35(3): 303-315 (2019) - [j13]Zaid Al-Ars, Steven van der Vlugt, Pekka Jääskeläinen, Frank van der Linden:
ALMARVI System Solution for Image and Video Processing in Healthcare, Surveillance and Mobile Applications. J. Signal Process. Syst. 91(1): 1-7 (2019) - [j12]Joost Hoozemans, Rob de Jong, Steven van der Vlugt, Jeroen van Straten, Uttam Kumar Elango, Zaid Al-Ars:
Frame-based Programming, Stream-Based Processing for Medical Image Processing Applications. J. Signal Process. Syst. 91(1): 47-59 (2019) - [j11]Joost Hoozemans, Jeroen van Straten, Timo Viitanen, Aleksi Tervo, Jiri Kadlec, Zaid Al-Ars:
ALMARVI Execution Platform: Heterogeneous Video Processing SoC Platform on FPGA. J. Signal Process. Syst. 91(1): 61-73 (2019) - [c100]Johan Peltenburg, Jeroen van Straten, Matthijs Brobbel, H. Peter Hofstee, Zaid Al-Ars:
Supporting Columnar In-memory Formats on FPGA: The Hardware Design of Fletcher for Apache Arrow. ARC 2019: 32-47 - [c99]Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H. Peter Hofstee:
Refine and Recycle: A Method to Increase Decompression Parallelism. ASAP 2019: 272-280 - [c98]Zaid Al-Ars, Twan Basten, Ad de Beer, Marc Geilen, Dip Goswami, Pekka Jääskeläinen, Jirí Kadlec, Marcos Martinez de Alejandro, Francesca Palumbo, Geran Peeren, Luigi Pomante, Frank van der Linden, Jukka Saarinen, Tero Säntti, Carlo Sau, Maria Katiuscia Zedda:
The FitOptiVis ECSEL project: highly efficient distributed embedded image/video processing in cyber-physical systems. CF 2019: 333-338 - [c97]Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H. Peter Hofstee:
A Fine-Grained Parallel Snappy Decompressor for FPGAs Using a Relaxed Execution Model. FCCM 2019: 335 - [c96]Johan Peltenburg, Jeroen van Straten, Lars Wijtemans, Lars van Leeuwen, Zaid Al-Ars, H. Peter Hofstee:
Fletcher: A Framework to Efficiently Integrate FPGA Accelerators with Apache Arrow. FPL 2019: 270-277 - [i2]Aritra Sarkar, Zaid Al-Ars, Carmen G. Almudéver, Koen Bertels:
An algorithm for DNA read alignment on quantum accelerators. CoRR abs/1909.05563 (2019) - 2018
- [j10]Ernst Joachim Houtgast, Vlad Mihai Sima, Koen Bertels, Zaid Al-Ars:
Hardware acceleration of BWA-MEM genomic short read mapping for longer read lengths. Comput. Biol. Chem. 75: 54-64 (2018) - [c95]Joost Hoozemans, Jeroen van Straten, Zaid Al-Ars, Stephan Wong:
Evaluating Auto-adaptation Methods for Fine-Grained Adaptable Processors. ARCS 2018: 255-268 - [c94]Shanshan Ren, Nauman Ahmed, Koen Bertels, Zaid Al-Ars:
An Efficient GPU-Based de Bruijn Graph Construction Algorithm for Micro-Assembly. BIBE 2018: 67-72 - [c93]Ernst Joachim Houtgast, Vlad Mihai Sima, Koen Bertels, Zaid Al-Ars:
Comparative Analysis of System-Level Acceleration Techniques in Bioinformatics: A Case Study of Accelerating the Smith-Waterman Algorithm for BWA-MEM. BIBE 2018: 243-246 - [c92]Jian Fang, Jianyu Chen, Zaid Al-Ars, H. Peter Hofstee, Jan Hidders:
A high-bandwidth snappy decompressor in reconfigurable logic: work-in-progress. CODES+ISSS 2018: 16 - [c91]Mahroo Zandrahimi, Philippe Debaud, Armand Castillejo, Zaid Al-Ars:
Industrial evaluation of transition fault testing for cost effective offline adaptive voltage scaling. DATE 2018: 289-292 - [c90]Mahroo Zandrahimi, Philippe Debaud, Armand Castillejo, Zaid Al-Ars:
An industrial case study of low cost adaptive voltage scaling using delay test patterns. DATE 2018: 999-1000 - [c89]Mahroo Zandrahimi, Philippe Debaud, Armand Castillejo, Zaid Al-Ars:
Cost Effective Adaptive Voltage Scaling Using Path Delay Fault Testing. EWDTS 2018: 1-6 - [c88]Parag Bhosale, Marius Staring, Zaid Al-Ars, Floris F. Berendsen:
GPU-based stochastic-gradient optimization for non-rigid medical image registration in time-critical applications. Medical Imaging: Image Processing 2018: 105740R - [c87]Nagarajan Kathiresan, Rashid Al-Ali, Puthen V. Jithesh, Ganesan Narayanasamy, Zaid Al-Ars:
Porting and Benchmarking of BWAKIT Pipeline on OpenPOWER Architecture. ISC Workshops 2018: 402-410 - 2017
- [c86]Joost Hoozemans, Rolf Heij, Jeroen van Straten, Zaid Al-Ars:
VLIW-Based FPGA Computation Fabric with Streaming Memory Hierarchy for Medical Imaging Applications. ARC 2017: 36-43 - [c85]Hamid Mushtaq, Frank Liu, Carlos Costa, Gang Liu, H. Peter Hofstee, Zaid Al-Ars:
SparkGA: A Spark Framework for Cost Effective, Fast and Accurate DNA Analysis at Scale. BCB 2017: 148-157 - [c84]Nauman Ahmed, Koen Bertels, Zaid Al-Ars:
Predictive Genome Analysis Using Partial DNA Sequencing Data. BIBE 2017: 119-124 - [c83]Hamid Mushtaq, Nauman Ahmed, Zaid Al-Ars:
Streaming Distributed DNA Sequence Alignment Using Apache Spark. BIBE 2017: 188-193 - [c82]Ernst Houtgast, Vlad Mihai Sima, Zaid Al-Ars:
High Performance Streaming Smith-Waterman Implementation with Implicit Synchronization on Intel FPGA using OpenCL. BIBE 2017: 492-496 - [c81]Shanshan Ren, Koen Bertels, Zaid Al-Ars:
GPU-Accelerated GATK HaplotypeCaller with Load-Balanced Multi-Process Optimization. BIBE 2017: 497-502 - [c80]Nauman Ahmed, Hamid Mushtaq, Koen Bertels, Zaid Al-Ars:
GPU accelerated API for alignment of genomics sequencing data. BIBM 2017: 510-515 - [c79]Mahroo Zandrahimi, Philippe Debaud, Armand Castillejo, Zaid Al-Ars:
Using transition fault test patterns for cost effective offline performance estimation. DTIS 2017: 1-5 - [c78]Yang Ma, Prajith Ramakrishnan Geethakumari, Georgios Smaragdos, Sander Lindeman, Vincenzo Romano, Mario Negrello, Ioannis Sourdis, Laurens W. J. Bosman, Chris I. De Zeeuw, Zaid Al-Ars, Christos Strydis:
Towards real-time whisker tracking in rodents for studying sensorimotor disorders. SAMOS 2017: 137-145 - [c77]Johan Peltenburg, Ahmad Hesam, Zaid Al-Ars:
Pushing Big Data into Accelerators: Can the JVM Saturate Our Hardware? ISC Workshops 2017: 220-236 - 2016
- [j9]Ernst Joachim Houtgast, Vlad Mihai Sima, Koen Bertels, Zaid Al-Ars:
An Efficient GPUAccelerated Implementation of Genomic Short Read Mapping with BWAMEM. SIGARCH Comput. Archit. News 44(4): 38-43 (2016) - [c76]Ernst Joachim Houtgast, Vlad Mihai Sima, Koen Bertels, Zaid Al-Ars:
GPU-Accelerated BWA-MEM Genomic Mapping Algorithm Using Adaptive Load Balancing. ARCS 2016: 130-142 - [c75]Valery Kritchallo, Billy Braithwaite, Erik Vermij, Koen Bertels, Zaid Al-Ars:
Balancing High-Performance Parallelization and Accuracy in Canny Edge Detector. ARCS 2016: 251-262 - [c74]Johan Peltenburg, Shanshan Ren, Zaid Al-Ars:
Maximizing systolic array efficiency to accelerate the PairHMM Forward Algorithm. BIBM 2016: 758-762 - [c73]Shanshan Ren, Koen Bertels, Zaid Al-Ars:
Exploration of alternative GPU implementations of the pair-HMMs forward algorithm. BIBM 2016: 902-909 - [c72]Nauman Ahmed, Koen Bertels, Zaid Al-Ars:
A comparison of seed-and-extend techniques in modern DNA read alignment algorithms. BIBM 2016: 1421-1428 - [c71]Mahroo Zandrahimi, Zaid Al-Ars, Philippe Debaud, Armand Castillejo:
Challenges of using on-chip performance monitors for process and environmental variation compensation. DATE 2016: 1018-1019 - [c70]Ernst Joachim Houtgast, Vlad Mihai Sima, Giacomo Marchiori, Koen Bertels, Zaid Al-Ars:
Power-Efficient Accelerated Genomic Short Read Mapping on Heterogeneous Computing Platforms. FCCM 2016: 28 - [c69]Mahroo Zandrahimi, Philippe Debaud, Armand Castillejo, Zaid Al-Ars:
Industrial approaches for performance evaluation using on-chip monitors. IDT 2016: 210-215 - [c68]Ernst Joachim Houtgast, Vlad Mihai Sima, Giacomo Marchiori, Koen Bertels, Zaid Al-Ars:
Power-efficiency analysis of accelerated BWA-MEM implementations on heterogeneous computing platforms. ReConFig 2016: 1-8 - [i1]Georgios Smaragdos, Georgios Chatzikonstantis, Rahul Kukreja, Harry Sidiropoulos, Dimitrios Rodopoulos, Ioannis Sourdis, Zaid Al-Ars, Christoforos Kachris, Dimitrios Soudris, Chris I. De Zeeuw, Christos Strydis:
BrainFrame: A node-level heterogeneous accelerator platform for neuron simulations. CoRR abs/1612.01501 (2016) - 2015
- [c67]Cuong Pham-Quoc, Imran Ashraf, Zaid Al-Ars, Koen Bertels:
Heterogeneous Hardware Accelerators with Hybrid Interconnect: An Automated Design Approach. ACOMP 2015: 59-66 - [c66]Shanshan Ren, Vlad Mihai Sima, Zaid Al-Ars:
FPGA acceleration of the pair-HMMs forward algorithm for DNA sequence analysis. BIBM 2015: 1465-1470 - [c65]Hamid Mushtaq, Zaid Al-Ars:
Cluster-based Apache Spark implementation of the GATK DNA analysis pipeline. BIBM 2015: 1471-1477 - [c64]Hoang Anh Du Nguyen, Zaid Al-Ars, Georgios Smaragdos, Christos Strydis:
Accelerating complex brain-model simulations on GPU platforms. DATE 2015: 974-979 - [c63]Nauman Ahmed, Vlad Mihai Sima, Ernst Houtgast, Koen Bertels, Zaid Al-Ars:
Heterogeneous Hardware/Software Acceleration of the BWA-MEM DNA Alignment Algorithm. ICCAD 2015: 240-246 - [c62]Hamid Mushtaq, Zaid Al-Ars, Koen Bertels:
Calculation of worst-case execution time for multicore processors using deterministic execution. PATMOS 2015: 33-39 - [c61]Ernst Joachim Houtgast, Vlad Mihai Sima, Koen Bertels, Zaid Al-Ars:
An FPGA-based systolic array to accelerate the BWA-MEM genomic mapping algorithm. SAMOS 2015: 221-227 - [c60]Joost Hoozemans, Stephan Wong, Zaid Al-Ars:
Using VLIW softcore processors for image processing applications. SAMOS 2015: 315-318 - [c59]Zaid Al-Ars, Hamid Mushtaq:
Scalability Potential of BWA DNA Mapping Algorithm on Apache Spark. SIMBig 2015: 85-88 - 2014
- [j8]Hamid Mushtaq, Zaid Al-Ars, Koen Bertels:
Efficent and highly portable deterministic multithreading (DetLock). Computing 96(12): 1131-1147 (2014) - [c58]Mahroo Zandrahimi, Zaid Al-Ars:
A Survey on Low-Power Techniques for Single and Multicore Systems. ICCASA 2014: 69-74 - [c57]Cuong Pham-Quoc, Zaid Al-Ars, Koen Bertels:
Automated Hybrid Interconnect Design for FPGA Accelerators Using Data Communication Profiling. IPDPS Workshops 2014: 151-160 - 2013
- [c56]Cuong Pham-Quoc, Zaid Al-Ars, Koen Bertels:
Heterogeneous hardware accelerators interconnect: An overview. AHS 2013: 189-197 - [c55]Cuong Pham-Quoc, Jan Heisswolf, Stephan Werner, Zaid Al-Ars, Jürgen Becker, Koen Bertels:
Hybrid interconnect design for heterogeneous hardware accelerators. DATE 2013: 843-846 - [c54]Hamid Mushtaq, Zaid Al-Ars, Koen Bertels:
Efficient software-based fault tolerance approach on multicore platforms. DATE 2013: 921-926 - [c53]Sohaib Majzoub, Zaid Al-Ars, Said Hamdioui:
Reducing random-dopant fluctuation impact on core-speed and power variability in many-core platforms. IDT 2013: 1-6 - [c52]