| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A generic approach to scheduling and checkpointing workflows
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1255-1274
|
artikel
|
| 2 |
A look back on 30 years of the Gordon Bell Prize
|
Bell, Gordon
|
|
2017
|
|
6 |
p. 469-484
|
artikel
|
| 3 |
An adaptive offline implementation selector for heterogeneous parallel platforms
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 854-863
|
artikel
|
| 4 |
A survey on software methods to improve the energy efficiency of parallel computing
|
Jin, Chao
|
|
2017
|
|
6 |
p. 517-549
|
artikel
|
| 5 |
A three-phase workflow for general and expressive representations of nondeterminism in HPC applications
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1175-1184
|
artikel
|
| 6 |
Beyond spatial scalability limitations with a massively parallel method for linear oscillatory problems
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 913-933
|
artikel
|
| 7 |
Controllers: An abstraction to ease the use of hardware accelerators
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 838-853
|
artikel
|
| 8 |
CORRIGENDUM to A failure detector for HPC platforms
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. NP1
|
artikel
|
| 9 |
Co-scheduling HPC workloads on cache-partitioned CMP platforms
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1221-1239
|
artikel
|
| 10 |
Efficient parallelization of perturbative Monte Carlo QM/MM simulations in heterogeneous platforms
|
Miranda, Sebastião
|
|
2017
|
|
6 |
p. 499-516
|
artikel
|
| 11 |
Employing MPI_T in MPI Advisor to optimize application performance
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 882-896
|
artikel
|
| 12 |
Exploring versioned distributed arrays for resilience in scientific applications
|
Chien, A
|
|
2017
|
|
6 |
p. 564-590
|
artikel
|
| 13 |
Finding parallel patterns through static analysis in C++ applications
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 779-788
|
artikel
|
| 14 |
Guest editors’ note: Special issue on clusters, clouds, and data for scientific computing
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1067-1068
|
artikel
|
| 15 |
High-level programming for heterogeneous and hierarchical parallel systems
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 804-806
|
artikel
|
| 16 |
Hybridisation strategies and data structures for the NEMO ocean model
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 864-881
|
artikel
|
| 17 |
Implementing efficient data compression and encryption in a persistent key-value store for HPC
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1098-1112
|
artikel
|
| 18 |
Introduction
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 777-778
|
artikel
|
| 19 |
Leveraging the accelerated processing units for seismic imaging: A performance and power efficiency comparison against CPUs and GPUs
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 819-837
|
artikel
|
| 20 |
Managing code transformations for better performance portability
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1290-1306
|
artikel
|
| 21 |
METADOCK: A parallel metaheuristic schema for virtual screening methods
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 789-803
|
artikel
|
| 22 |
Modeling high-throughput applications for in situ analytics
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1185-1200
|
artikel
|
| 23 |
On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1140-1158
|
artikel
|
| 24 |
PAPI software-defined events for in-depth performance analysis
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1113-1127
|
artikel
|
| 25 |
Scalable critical-path analysis and optimization guidance for hybrid MPI-CUDA applications
|
Schmitt, Felix
|
|
2017
|
|
6 |
p. 485-498
|
artikel
|
| 26 |
Soft fault detection and correction for multigrid
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 897-912
|
artikel
|
| 27 |
Splotch
|
Dykes, Timothy
|
|
2017
|
|
6 |
p. 550-563
|
artikel
|
| 28 |
State access patterns in stream parallel computations
|
Balaji, Pavan
|
|
2018
|
|
6 |
p. 807-818
|
artikel
|
| 29 |
Statistical and machine learning models for optimizing energy in parallel applications
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1079-1097
|
artikel
|
| 30 |
Study on progress threads placement and dedicated cores for overlapping MPI nonblocking collectives on manycore processor
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1240-1254
|
artikel
|
| 31 |
SWIRL: High-performance many-core CPU code generation for deep neural networks
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1275-1289
|
artikel
|
| 32 |
The role of machine learning in scientific workflows
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1128-1139
|
artikel
|
| 33 |
Toward a modular precision ecosystem for high-performance computing
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1069-1078
|
artikel
|
| 34 |
Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1159-1174
|
artikel
|
| 35 |
Use cases of lossy compression for floating-point data in scientific data sets
|
Dongarra, Jack
|
|
2019
|
|
6 |
p. 1201-1220
|
artikel
|
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