activity
20212024
most citedMigrating CUDA to oneAPI: A Smith-Waterman Case Study

15 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DC2024★ 5 cited

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with SW Sequence Alignment

Manuel Costanzo, Enzo Rucci, Carlos García-Sánchez +2

The high-performance computing (HPC) landscape is undergoing rapid transformation, with an increasing emphasis on energy-efficient and heterogeneous computing environments. This co…

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.PL2022★ 5 cited

Assessing Opportunities of SYCL for Biological Sequence Alignment on GPU-based Systems

Manuel Costanzo, Enzo Rucci, Carlos García Sánchez +2

Bioinformatics and Computational Biology are two fields that have been exploiting GPUs for more than two decades, being CUDA the most used programming language for them. However, a…

cs.DC2022★ 15 cited

Migrating CUDA to oneAPI: A Smith-Waterman Case Study

Manuel Costanzo, Enzo Rucci, Carlos Garcia Sanchez +2

To face the programming challenges related to heterogeneous computing, Intel recently introduced oneAPI, a new programming environment that allows code developed in Data Parallel C…

cs.PL2021★ 1 cited

Performance vs Programming Effort between Rust and C on Multicore Architectures: Case Study in N-Body

Manuel Costanzo, Enzo Rucci, Marcelo Naiouf +1

Historically, Fortran and C have been the default programming languages in High-Performance Computing (HPC). In both, programmers have primitives and functions available that allow…

cs.DC2021★ 6 cited

Early Experiences Migrating CUDA codes to oneAPI

Manuel Costanzo, Enzo Rucci, Carlos García Sanchez +1

The heterogeneous computing paradigm represents a real programming challenge due to the proliferation of devices with different hardware characteristics. Recently Intel introduced…

cs.DC2021★ 1 cited

Comparison of HPC Architectures for Computing All-Pairs Shortest Paths. Intel Xeon Phi KNL vs NVIDIA Pascal

Manuel Costanzo, Enzo Rucci, Ulises Costi +2

Today, one of the main challenges for high-performance computing systems is to improve their performance by keeping energy consumption at acceptable levels. In this context, a cons…