Zobrazeno 1 - 10
of 486
pro vyhledávání: '"Orenes, P."'
Autor:
Glicenstein, Antoine, Apoorva, Apoorva, Orenes, Daniel Benedicto, Letellier, Hector, de Melo, Alvaro Mitchell Galvão, Saint-Jalm, Raphaël, Kaiser, Robin
This study introduces a novel method to investigate in-situ light transport within optically thick ensembles of cold atoms, exploiting the internal structure of alkaline-earth metals. A method for creating an optical excitation at the center of a lar
Externí odkaz:
http://arxiv.org/abs/2409.11117
The design space exploration of scaled-out manycores for communication-intensive applications (e.g., graph analytics and sparse linear algebra) is hampered due to either lack of scalability or accuracy of existing frameworks at simulating data-depend
Externí odkaz:
http://arxiv.org/abs/2312.10244
Graph search and sparse data-structure traversal workloads contain challenging irregular memory patterns on global data structures that need to be modified atomically. Distributed processing of these workloads has relied on server threads operating o
Externí odkaz:
http://arxiv.org/abs/2311.15810
In recent years, the growing demand to process large graphs and sparse datasets has led to increased research efforts to develop hardware- and software-based architectural solutions to accelerate them. While some of these approaches achieve scalable
Externí odkaz:
http://arxiv.org/abs/2311.15443
Formal property verification (FPV) has existed for decades and has been shown to be effective at finding intricate RTL bugs. However, formal properties, such as those written as SystemVerilog Assertions (SVA), are time-consuming and error-prone to wr
Externí odkaz:
http://arxiv.org/abs/2309.09437
Recent works have introduced task-based parallelization schemes to accelerate graph search and sparse data-structure traversal, where some solutions scale up to thousands of processing units (PUs) on a single chip. However parallelizing these memory-
Externí odkaz:
http://arxiv.org/abs/2304.09389
Autor:
Orenes-Vera, Marcelo, Sharapov, Ilya, Schreiber, Robert, Jacquelin, Mathias, Vandermersch, Philippe, Chetlur, Sharan
Publikováno v:
Proceedings of the 37th International Conference on Supercomputing 2023
We have implemented fast Fourier transforms for one, two, and three-dimensional arrays on the Cerebras CS-2, a system whose memory and processing elements reside on a single silicon wafer. The wafer-scale engine (WSE) encompasses a two-dimensional me
Externí odkaz:
http://arxiv.org/abs/2209.15040
Publikováno v:
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
Applications with low data reuse and frequent irregular memory accesses, such as graph or sparse linear algebra workloads, fail to scale well due to memory bottlenecks and poor core utilization. While prior work with prefetching, decoupling, or pipel
Externí odkaz:
http://arxiv.org/abs/2207.13219
Autor:
Aybar, Enes, Niezgoda, Artur, Mirkhalaf, Safoura S., Mitchell, Morgan W., Orenes, Daniel Benedicto, Witkowska, Emilia
Publikováno v:
Quantum 6, 808 (2022)
In this work, we study temperature sensing with finite-sized strongly correlated systems exhibiting quantum phase transitions. We use the quantum Fisher information (QFI) approach to quantify the sensitivity in the temperature estimation, and apply a
Externí odkaz:
http://arxiv.org/abs/2204.02734
Autor:
Francisco Díaz-Martínez, Miguel F Sánchez-Sauco, Laura T Cabrera-Rivera, Claudia A Ortín-Fernández, Esteban Orenes-Piñero, Juan A Ortega-García
Publikováno v:
Environmental Health and Preventive Medicine, Vol 29, Pp 64-64 (2024)
Background: Substance abuse is a global problem that cuts across all sectors of society and requires innovative solutions that go beyond conventional treatments. Contact with nature could be a complementary tool to address drug-related problems. This
Externí odkaz:
https://doaj.org/article/3a879911d6994035969287bf1acc3c79
