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pro vyhledávání: '"Costanzo, Manuel"'
Autor:
Costanzo, Manuel, Rucci, Enzo, Sánchez, Carlos García, Naiouf, Marcelo, Prieto-Matías, Manuel
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 NVIDIA, Intel, and AMD GPUs. This study evaluates the portability and pe
Externí odkaz:
http://arxiv.org/abs/2309.09609
Autor:
Costanzo, Manuel, Rucci, Enzo, Sánchez, Carlos García, Naiouf, Marcelo, Prieto-Matías, Manuel
Publikováno v:
J Supercomput (2024)
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, as CUDA is an NVIDIA proprietary language, it implies a strong portabil
Externí odkaz:
http://arxiv.org/abs/2211.10769
Autor:
Costanzo, Manuel, Rucci, Enzo, Sanchez, Carlos Garcia, Naiouf, Marcelo, Prieto-Matias, Manuel
Publikováno v:
In: Bioinformatics and Biomedical Engineering. IWBBIO 2022. Lecture Notes in Computer Science(), vol 13347. Springer, Cham (2022)
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++ (DPC++) language to be run on different devices such as CPUs, GPUs,
Externí odkaz:
http://arxiv.org/abs/2203.11100
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 manipulating system memory and interacting directly with the underlyi
Externí odkaz:
http://arxiv.org/abs/2107.11912
The heterogeneous computing paradigm represents a real programming challenge due to the proliferation of devices with different hardware characteristics. Recently Intel introduced oneAPI, a new programming environment that allows code developed in DP
Externí odkaz:
http://arxiv.org/abs/2105.13489
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 consolidated strategy consists of using accelerators such as GPUs or many-
Externí odkaz:
http://arxiv.org/abs/2105.07298
Akademický článek
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Autor:
Costanzo, Manuel
Publikováno v:
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
Universidad Nacional de La Plata
instacron:UNLP
Históricamente, Fortran y C han sido los lenguajes de programación por defecto en la computación de alto rendimiento (High-Performance Computing, HPC). Ambos ofrecen al programador primitivas y funciones que permiten manipular la memoria del siste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::600772285b4a840fedb8ab8de69d60d6
http://sedici.unlp.edu.ar/handle/10915/120119
http://sedici.unlp.edu.ar/handle/10915/120119
Autor:
Boggia, Marcos, Costanzo, Manuel
Esta tesina presenta el diseño, desarrollo y despliegue de un sistema Multi-Robots, compuesto por un Auto Robot que simula un vehículo tradicional, como así también, un dispositivo de vuelo capaz de capturar imágenes aéreas; ambos conectados al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1329::ff28579939c9b6e9876dd6c7ec9f019c
http://sedici.unlp.edu.ar/handle/10915/119642
http://sedici.unlp.edu.ar/handle/10915/119642