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Pieter Hijma
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2020 – today
- 2023
- [j8]Pieter Hijma
, Stijn Heldens
Optimization Techniques for GPU Programming. ACM Comput. Surv. 55(11): 239:1-239:81 (2023) - [j7]Johri van Eerd, Jan Friso Groote
Innermost many-sorted term rewriting on GPUs. Sci. Comput. Program. 225: 102910 (2023) - [j6]Jan Martens
Linear parallel algorithms to compute strong and branching bisimilarity. Softw. Syst. Model. 22(2): 521-545 (2023) - 2022
- [j5]Stijn Heldens
litstudy: A Python package for literature reviews. SoftwareX 20: 101207 (2022) - [c8]Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Rob V. van Nieuwpoort
Lightning: Scaling the GPU Programming Model Beyond a Single GPU. IPDPS 2022: 492-503 - [i4]Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Rob V. van Nieuwpoort:
Lightning: Scaling the GPU Programming Model Beyond a Single GPU. CoRR abs/2202.05549 (2022) - 2021
- [j4]Stijn Heldens
The Landscape of Exascale Research: A Data-Driven Literature Analysis. ACM Comput. Surv. 53(2): 23:1-23:43 (2021) - [c7]Jan Martens
A Linear Parallel Algorithm to Compute Bisimulation and Relational Coarsest Partitions. FACS 2021: 115-133 - [c6]Johri van Eerd, Jan Friso Groote
Term Rewriting on GPUs. FSEN 2021: 175-189 - [i3]Jan Martens, Jan Friso Groote, Lars B. van den Haak, Pieter Hijma, Anton Wijs:
A linear parallel algorithm to compute bisimulation and relational coarsest partitions. CoRR abs/2105.11788 (2021) - 2020
- [c5]Stijn Heldens
Rocket: efficient and scalable all-pairs computations on heterogeneous platforms. SC 2020: 101 - [i2]Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Henri E. Bal, Rob van Nieuwpoort:
Rocket: Efficient and Scalable All-Pairs Computations on Heterogeneous Platforms. CoRR abs/2009.04755 (2020) - [i1]Johri van Eerd, Jan Friso Groote, Pieter Hijma, Jan Martens, Anton Wijs:
Term Rewriting on GPUs. CoRR abs/2009.07174 (2020)
2010 – 2019
- 2018
- [j3]Ben van Werkhoven, Pieter Hijma, Ceriel J. H. Jacobs
A Jungle Computing approach to common image source identification in large collections of images. Digit. Investig. 27: 3-16 (2018) - 2015
- [j2]Pieter Hijma, Rob van Nieuwpoort
Stepwise-refinement for performance: a methodology for many-core programming. Concurr. Comput. Pract. Exp. 27(17): 4515-4554 (2015) - [c4]Ben van Werkhoven
An Integrated Approach to Porting Large Scientific Applications to GPUs. e-Science 2015: 57-66 - [c3]Pieter Hijma, Ceriel J. H. Jacobs
Cashmere: Heterogeneous Many-Core Computing. IPDPS 2015: 135-145 - 2012
- [j1]Pieter Hijma, Rob van Nieuwpoort
Generating synchronization statements in divide-and-conquer programs. Parallel Comput. 38(1-2): 75-89 (2012) - 2011
- [c2]Ana Lucia Varbanescu, Pieter Hijma, Rob van Nieuwpoort
Towards an Effective Unified Programming Model for Many-Cores. IPDPS Workshops 2011: 681-692 - [c1]Pieter Hijma, Rob van Nieuwpoort
Automatically Inserting Synchronization Statements in Divide-and-Conquer Programs. IPDPS Workshops 2011: 1233-1241
Coauthor Index
aka: Rob V. van Nieuwpoort
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