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All of our publications

Mont-Blanc partners share the results of their work in scientific papers, articles and invited talks. Discover the full list below.

9 results All
Auto-tuned OpenCL kernel co-execution in OmpSs for heterogeneous systems

Pérez, B. - Stafford, E. - Bosque, J. - Beivide, R. - Mateo, S. - Teruel, X. - Martorell, X. - Ayguadé, E.

Journal Article

2019
Characterizing and Improving the Performance of Many-Core Task-Based Parallel Programming Runtimes

Bosch, J. - Tan, X. - Alvarez, C. - Jiménez-González, D. - Martorell, X. - Ayguadé, E.

Workshops

2017
Extending OmpSs for OpenCL Kernel Co-Execution in Heterogeneous Systems

Pérez, B. - Stafford, E. - Bosque, J. - Beivide, R. - Mateo, S. - Teruel, X. - Martorell, X. - Ayguadé, E.

Conference Paper

2017
Implementation of the K-Means Algorithm on Heterogeneous Devices: A Use Case Based on an Industrial Dataset

XU, Y. - Vidal, M. - Arejita, B. - Diaz, J. - Alvarez, C. - Jiménez-González, D. - Martorell, X. - Mantovani, F.

Journal Article

2018
Hipster: Hybrid Task Manager for Latency-Critical Cloud Workloads

Nishtala, R. - Carpenter, P. - Petrucci, V. - Martorell, X.

International Conferences

2017
The Mont-Blanc prototype: An Alternative Approach for HPC Systems

Rajovic, N. - Rico, A. - Mantovani, F. - Ruiz, D. - Oriol Vilarrubi, J. - Gomez, C. - Backes, L. - Nieto, D. - Servat, H. - Martorell, X. - Labarta, J. - Ayguadé, E. - Adeniyi-Jones, C. - Derradji, S. - Gloaguen, H. - Lanucara, P. - Sanna, N. - Mehaut, J. - Pouget, K. - Videau, B. - Boyer, E. - Allalen, M. - Auweter, A. - Tafani, D. - Brayford, D. - Brömmel, D. - Meinke, J. - Beivide, R. - Benito, M. - Vallejo, E. - Valero, M. - Ramirez, A.

Conference Paper

2016
RePP-C: Runtime Estimation of Performance-Power with Workload Consolidation in CMPs

Nishtala, R. - Martorell, X.

International Conferences

2016
REPP-H: Runtime Estimation of Power and Performance on Heterogeneous Data Centers

Nishtala, R. - Martorell, X. - Petrucci, V. - Mosse, D.

Workshops

2016
European Approach Towards Energy Efficient High Performance Computing
This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreements n° 671697 and 779877
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