10 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.PL2023★ 6 cited
Comparing Performance and Portability between CUDA and SYCL for Protein Database Search on NVIDIA, AMD, and Intel GPUs
Manuel Costanzo, Enzo Rucci, Carlos García Sánchez +2
The heterogeneous computing paradigm has led to the need for portable and efficient programming solutions that can leverage the capabilities of various hardware devices, such as NV…
cs.PF2010★ 10 cited
Automatic Mapping Tasks to Cores - Evaluating AMTHA Algorithm in Multicore Architectures
Laura De Giusti, Franco Chichizola, Marcelo Naiouf +2
The AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-to-processors assignment and the MPAHA (Model of Parallel Algorithms on Heterogeneous Architect…