1 citations · 1 across the 2 of their papers we have counts for
4 papers
A task-based data-flow methodology for programming heterogeneous systems with multiple accelerator APIs
Aleix Boné, Alejandro Aguirre, David Ãlvarez +2
Heterogeneous nodes that combine multi-core CPUs with diverse accelerators are rapidly becoming the norm in both high-performance computing (HPC) and AI infrastructures. Exploiting…
Rethinking Thread Scheduling under Oversubscription: A User-Space Framework for Coordinating Multi-runtime and Multi-process Workloads
Aleix Roca, Vicenç Beltran
The convergence of high-performance computing (HPC) and artificial intelligence (AI) is driving the emergence of increasingly complex parallel applications and workloads. These wor…
Extending the OmpSs-2 Programming Model for Hybrid Quantum-Classical Programming
Philip Döbler, David Ãlvarez, Lucas J. Menger +3
The OmpSs-2 programming model is used in HPC programs to parallelize code and offload code to accelerators. In this work, we extend the offloading capability to quantum computers.…
Distributed and heterogeneous tensor-vector contraction algorithms for high performance computing
Pedro J. Martinez-Ferrer, Albert-Jan Yzelman, Vicenç Beltran
The tensor-vector contraction (TVC) is the most memory-bound operation of its class and a core component of the higher-order power method (HOPM). This paper brings distributed-memo…