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 [293]
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Reports de recerca [56]
Recent Submissions
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On the resilience of deep learning for reduced-voltage FPGAs
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessDeep Neural Networks (DNNs) are inherently computation-intensive and also power-hungry. Hardware accelerators such as Field Programmable Gate Arrays (FPGAs) are a promising solution that can satisfy these requirements for ... -
Evaluating built-in ECC of FPGA on-chip memories for the mitigation of undervolting faults
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessVoltage underscaling below the nominal level is an effective solution for improving energy efficiency in digital circuits, e.g., Field Programmable Gate Arrays (FPGAs). However, further undervolting below a safe voltage ... -
Towards specification of a software architecture for cross-sectoral big data applications
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference lecture
Open AccessThe proliferation of Big Data applications puts pressure on improving and optimizing the handling of diverse datasets across different domains. Among several challenges, major difficulties arise in data-sensitive domains ... -
A highly parallel algorithm for computing the action of a matrix exponential on a vector based on a multilevel Monte Carlo method
(2020-01-01)
Article
Restricted access - publisher's policyA novel algorithm for computing the action of a matrix exponential over a vector is proposed. The algorithm is based on a multilevel Monte Carlo method, and the vector solution is computed probabilistically generating ... -
Real-time logo detection in brand-related social media images
(Springer, 2019)
Conference report
Open AccessThis paper presents a work consisting in using deep convolutional neural networks (CNNs) for real-time logo detection in brand-related social media images. The final goal is to facilitate searching and discovering ... -
BIGSEA: A big data analytics platform for public transportation information
(Elsevier, 2019-07)
Article
Restricted access - publisher's policyAnalysis of public transportation data in large cities is a challenging problem. Managing data ingestion, data storage, data quality enhancement, modelling and analysis requires intensive computing and a non-trivial amount ... -
BioExcel Building Blocks, a software library for interoperable biomolecular simulation workflows
(Nature, 2019-09-10)
Article
Open AccessIn the recent years, the improvement of software and hardware performance has made biomolecular simulations a mature tool for the study of biological processes. Simulation length and the size and complexity of the analyzed ... -
Upgrading a high performance computing environment for massive data processing
(Springer, 2019-10-16)
Article
Open AccessHigh-performance computing (HPC) and massive data processing (Big Data) are two trends that are beginning to converge. In that process, aspects of hardware architectures, systems support and programming paradigms are being ... -
CAPre: Code-Analysis based Prefetching for Persistent object stores
(Elsevier, 2019-11-12)
Article
Restricted access - publisher's policyData prefetching aims to improve access times to data storage systems by predicting data records that are likely to be accessed by subsequent requests and retrieving them into a memory cache before they are needed. In the ... -
Ground-truth prediction to accelerate soft-error impact analysis for iterative methods
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessUnderstanding the impact of soft errors on applications can be expensive. Often, it requires an extensive error injection campaign involving numerous runs of the full application in the presence of errors. In this paper, ... -
Energy-aware self-adaptation for application execution on heterogeneous parallel architectures
(Institute of Electrical and Electronics Engineers (IEEE), 2020-01)
Article
Open AccessHardware in High Performance Computing environments in recent years have increasingly become more heterogeneous in order to improve computational performance. An additional aspect of such systems is the management of power ... -
DRAM errors in the field: a statistical approach
(Association for Computing Machinery (ACM), 2019)
Conference report
Open AccessThis paper summarizes our two-year study of corrected and uncor-rected errors on the MareNostrum 3 supercomputer, covering 2000 billion MB-hours of DRAM in the field. The study analyzes 4.5 million corrected and 71 uncorrected ...
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