Jan G. Cornelis

Orcid: 0000-0002-6786-7157

Affiliations:
  • Vrije Universiteit Brussel, Belgium


According to our database1, Jan G. Cornelis authored at least 11 papers between 2011 and 2023.

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

2023
Analysis of the analytical performance models for GPUs and extracting the underlying Pipeline model.
J. Parallel Distributed Comput., March, 2023

2019
The Pipeline Performance Model: A Generic Executable Performance Model for GPUs.
Proceedings of the 27th Euromicro International Conference on Parallel, 2019

2018
Efficiency analysis methodology of FPGAs based on lost frequencies, area and cycles.
J. Parallel Distributed Comput., 2018

Heterogeneous Cloud Computing: Design Methodology to Combine Hardware Accelerators.
Proceedings of the 2018 4th International Conference on Cloud Computing Technologies and Applications, 2018

2017
Heterogeneous acceleration of volumetric JPEG 2000 using OpenCL.
Int. J. High Perform. Comput. Appl., 2017

2016
Microbenchmarks for GPU Characteristics: The Occupancy Roofline and the Pipeline Model.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

2015
Heterogeneous Acceleration of Volumetric JPEG 2000.
Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

2013
Comparing and combining GPU and FPGA accelerators in an image processing context.
Proceedings of the 23rd International Conference on Field programmable Logic and Applications, 2013

Performance and toolchain of a combined GPU/FPGA desktop (abstract only).
Proceedings of the 2013 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2013

2012
Performance and Programming Environment of a Combined GPU/FPGA Desktop.
Proceedings of the Transition of HPC Towards Exascale Computing, 2012

2011
Benchmarks Based on Anti-Parallel Patterns for the Evaluation of GPUs.
Proceedings of the Applications, Tools and Techniques on the Road to Exascale Computing, Proceedings of the conference ParCo 2011, 31 August, 2011


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