Zobrazeno 1 - 10
of 199
pro vyhledávání: '"Matias Manuel, A."'
Publikováno v:
IEEE Transactions on Computers, 71(8), pp. 1952-1967, 1 Aug. 2022
Commodity multicore systems are increasingly adopting hardware support that enables the system software to partition the last-level cache (LLC). This support makes it possible for the operating system (OS) or the Virtual Machine Monitor (VMM) to miti
Externí odkaz:
http://arxiv.org/abs/2402.07693
Publikováno v:
Proceedings of the 49th International Conference on Parallel Processing (ICPP 2020). ACM, Article 51, 1-11
Asymmetric multicore processors (AMPs) couple high-performance big cores and low-power small cores with the same instruction-set architecture but different features, such as clock frequency or microarchitecture. Previous work has shown that asymmetri
Externí odkaz:
http://arxiv.org/abs/2402.07664
Publikováno v:
48th International Conference on Parallel Processing (ICPP 2019), August 5--8, 2019, Kyoto, Japan
Multicore processors constitute the main architecture choice for modern computing systems in different market segments. Despite their benefits, the contention that naturally appears when multiple applications compete for the use of shared resources a
Externí odkaz:
http://arxiv.org/abs/2402.07578
Autor:
RodrÍguez-RodrÍguez, Roberto, DÍaz, Javier, Castro, Fernando, IbÁÑez, Pablo, Chaver, Daniel, ViÑals, Víctor, Saez, Juan Carlos, Prieto-Matias, Manuel, Pinuel, Luis, Monreal, Teresa, LlaberÍa, Jose María
Publikováno v:
The Computer Journal, 61(6), 2018, pp. 856-880
Various constraints of Static Random Access Memory (SRAM) are leading to consider new memory technologies as candidates for building on-chip shared last-level caches (SLLCs). Spin-Transfer Torque RAM (STT-RAM) is currently postulated as the prime con
Externí odkaz:
http://arxiv.org/abs/2402.00533
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
The accuracy requirements in many scientific computing workloads result in the use of double-precision floating-point arithmetic in the execution kernels. Nevertheless, emerging real-number representations, such as posit arithmetic, show promise in d
Externí odkaz:
http://arxiv.org/abs/2305.06946
The bacterium Xylella fastidiosa (Xf) is mainly transmitted by the spittlebug, Philaenus spumarius, in Europe, where it has caused significant economic damage to olive and almond trees. Understanding the factors that determine disease dynamics in pat
Externí odkaz:
http://arxiv.org/abs/2212.05313
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
Publikováno v:
R. Soc. open sci. 9, 212023 (2022)
Emerging marine infectious diseases pose a substantial threat to marine ecosystems and the conservation of their biodiversity. Compartmental models of epidemic transmission in marine sessile organisms, available only recently, are based on non-spatia
Externí odkaz:
http://arxiv.org/abs/2205.08902
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