CAP - Grup de Computació d'Altes Prestacions
En aquest grup s´investiga en tècniques que permeten millorar l´eficiència dels sistemes de computació d?altes prestacions. Aquest objectiu es tracta des de perspectives diverses que requereixen un cert grau de cooperació: arquitectura del sistema uniprocessador i multiprocessador, compilador, sistema operatiu, eines d´anàlisi, visualització i predicció, algorismes i aplicacions. Per mesurar l´eficiència es consideren mètriques que van més enllà del temps d´execució dels programes. En particular es consideren aspectes relacionats amb el disseny del sistema (cicle d´operació, àrea i consum de potència del processador i la jerarquia de memòria, escalabilitat de l´organització uniprocessador i multiprocessador), amb la verificació funcional dels sistemes, amb la facilitat i la portabilitat del model de programació i amb el rendiment en entorns multiprogramats i distribuïts, entre altres.
The group aims to improve the efficiency of high-performance computing systems. To that end, it employs a variety of approaches that require a certain level of cooperation and integration: microarchitecture and multiprocessor architecture, compilers, operating systems, analysis, visualisation and prediction tools, algorithms and applications. When measuring efficiency, in addition to the traditional approach that takes the execution time into account, we use metrics that consider design factors such as cycle time, area and power dissipation of the processor and memory hierarchy, scalability of the microarchitecture and multiprocessor organisation, system correctness, portability and ease of use of programming models, and performance when running on multiuser, multiprogrammed and distributed environments, among others.
The group aims to improve the efficiency of high-performance computing systems. To that end, it employs a variety of approaches that require a certain level of cooperation and integration: microarchitecture and multiprocessor architecture, compilers, operating systems, analysis, visualisation and prediction tools, algorithms and applications. When measuring efficiency, in addition to the traditional approach that takes the execution time into account, we use metrics that consider design factors such as cycle time, area and power dissipation of the processor and memory hierarchy, scalability of the microarchitecture and multiprocessor organisation, system correctness, portability and ease of use of programming models, and performance when running on multiuser, multiprogrammed and distributed environments, among others.
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Articles de revista [379]
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Recent Submissions
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Complete instrumentation requirements for performance analysis of web based technologies
(Institute of Electrical and Electronics Engineers (IEEE), 2003)
Conference report
Open AccessIn this paper we present the eDragon environment, a research platform created to perform complete performance analysis of new Web-based technologies. eDragon enables the understanding of how application servers work in ... -
Functional and timing implications of transient faults in critical systems
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessEmbedded systems in critical domains, such as auto-motive, aviation, space domains, are often required to guarantee both functional and temporal correctness. Considering transient faults, fault analysis and mitigation ... -
Sources of single event effects in the NVIDIA Xavier SoC family under proton irradiation
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessIn this paper we characterise two embedded GPU devices from the NVIDIA Xavier family System-on-Chip (SoC) using a proton beam. We compare the NVIDIA Xavier NX and Industrial devices, that respectively target commercial and ... -
An instrumentation tool for threaded Java application servers
(Universitat de Lleida, 2002)
Conference report
Open AccessRapid development of e-business services has extended the use of application servers on companies. The Java platform has an important presence on this sector because of its portability and development facilities. Java ... -
Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach
(2022-11)
Article
Restricted access - publisher's policyIn the near future, Exascale systems will need to bridge three technology gaps to achieve high performance while remaining under tight power constraints: energy efficiency and thermal control; extreme computation efficiency ... -
OmpSs@cloudFPGA: An FPGA task-based programming model with message passing
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessNowadays, a new parallel paradigm for energy-efficient heterogeneous hardware infrastructures is required to achieve better performance at a reasonable cost on high-performance computing applications. Under this new paradigm, ... -
Vector extensions in COTS processors to increase guaranteed performance in real-time systems
(2022-08-31)
Article
Open AccessThe need for increased application performance in high-integrity systems like those in avionics is on the rise as software continues to implement more complex functionalities. The prevalent computing solution for future ... -
Accelerating FFT using NEC SX-Aurora vector engine
(Springer, 2021)
Conference report
Restricted access - publisher's policyNovel architectures leveraging long and variable vector lengths like the NEC SX-Aurora or the vector extension of RISCV are appearing as promising solutions on the supercomputing market. These architectures often require ... -
A closer look at referring expressions for video object segmentation
(2022-07-27)
Article
Open AccessThe task of Language-guided Video Object Segmentation (LVOS) aims at generating binary masks for an object referred by a linguistic expression. When this expression unambiguously describes an object in the scene, it is ... -
The holistic perspective of the INCISIVE Project: artificial intelligence in screening mammography
(Multidisciplinary Digital Publishing Institute, 2022-08-31)
Article
Open AccessFinding new ways to cost-effectively facilitate population screening and improve cancer diagnoses at an early stage supported by data-driven AI models provides unprecedented opportunities to reduce cancer related mortality. ... -
TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessTo achieve high performance and high energy efficiency on near-future exascale computing systems, three key technology gaps needs to be bridged. These gaps include: energy efficiency and thermal control; extreme computation ... -
A BF16 FMA is all you need for DNN training
(Institute of Electrical and Electronics Engineers (IEEE), 2022-07-01)
Article
Open AccessFused Multiply-Add (FMA) functional units constitute a fundamental hardware component to train Deep Neural Networks (DNNs). Its silicon area grows quadratically with the mantissa bit count of the computer number format, ...
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