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View article: Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows Open
The 2024 Workflows Community Summit report presents the outcomes of a three-day international gathering that brought together 111 experts from 18 countries to discuss future trends and challenges in scientific workflows. The summit focused…
View article: Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows Open
The 2024 Workflows Community Summit report presents the outcomes of a three-day international gathering that brought together 111 experts from 18 countries to discuss future trends and challenges in scientific workflows. The summit focused…
View article: Recording provenance of workflow runs with RO-Crate
Recording provenance of workflow runs with RO-Crate Open
Recording the provenance of scientific computation results is key to the support of traceability, reproducibility and quality assessment of data products. Several data models have been explored to address this need, providing representatio…
View article: Recording provenance of workflow runs with RO-Crate (RO-Crate and mapping)
Recording provenance of workflow runs with RO-Crate (RO-Crate and mapping) Open
RO-Crate for the manuscript that describes Workflow Run Crate, includes mapping to PROV using SKOS/SSSOM.
View article: Recording provenance of workflow runs with RO-Crate (RO-Crate and mapping)
Recording provenance of workflow runs with RO-Crate (RO-Crate and mapping) Open
RO-Crate for the manuscript that describes Workflow Run Crate, includes mapping to PROV using SKOS/SSSOM.
View article: Recording provenance of workflow runs with RO-Crate
Recording provenance of workflow runs with RO-Crate Open
Recording the provenance of scientific computation results is key to the support of traceability, reproducibility and quality assessment of data products. Several data models have been explored to address this need, providing representatio…
View article: Workflows Community Summit 2022: A Roadmap Revolution
Workflows Community Summit 2022: A Roadmap Revolution Open
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex scientific experiments that range from execution of a cloud-…
View article: Workflows Community Summit 2022: A Roadmap Revolution
Workflows Community Summit 2022: A Roadmap Revolution Open
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex scientific experiments that range from the execution of a cl…
View article: Automatic, Efficient and Scalable Provenance Registration for FAIR HPC Workflows
Automatic, Efficient and Scalable Provenance Registration for FAIR HPC Workflows Open
Provenance registration is becoming more and more important, as we increase the size and number of experiments performed using computers. In particular, when provenance is recorded in HPC environments, it must be efficient and scalable. In…
View article: Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case
Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case Open
Manufacturing processes are highly complex. Production lines have several robots and digital tools, generating massive amounts of data. Unstructured, noisy and incomplete data have to be collected, aggregated, pre-processed and transformed…
View article: Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case
Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case Open
A large number of EU organisations already leverage Big Data pools to drive value and investments. This trend also applies to the banking sector. As a specific example, CaixaBank currently manages more than 300 different data sources (more…
View article: Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned through the Centro Ricerche FIAT (CRF) Case
Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned through the Centro Ricerche FIAT (CRF) Case Open
Manufacturing processes are highly complex. Production lines have several robots and digital tools, generating massive amounts of data. Unstructured, noisy and incomplete data have to be collected, aggregated, pre-processed and transformed…
View article: Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case
Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case Open
A large number of EU organizations already leverage Big Data pools to drive value and investments. This trend also applies to the banking sector. As a specific example, CaixaBank currently manages more than 300 different data sources (more…
View article: The OTree: Multidimensional Indexing with efficient data Sampling for HPC
The OTree: Multidimensional Indexing with efficient data Sampling for HPC Open
Spatial big data is considered an essential trend in future scientific and business applications. Indeed, research instruments, medical devices, and social networks generate hundreds of petabytes of spatial data per year. However, many aut…
View article: Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications
Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications Open
The 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 like banking, tele…
View article: Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications
Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications Open
The 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 like banking, tele…
View article: A Fast Solver for Large Tridiagonal Systems on Multi-Core Processors (Lass Library)
A Fast Solver for Large Tridiagonal Systems on Multi-Core Processors (Lass Library) Open
[Abstract]: Many problems of industrial and scientific interest require the solving of tridiagonal linear systems. This paper presents several implementations for the parallel solving of large tridiagonal systems on multi-core architecture…
View article: MPI+OpenMP Tasking Scalability for the Simulation of the Human Brain
MPI+OpenMP Tasking Scalability for the Simulation of the Human Brain Open
The simulation of the behavior of the Human Brain is one of the most ambitious challenges today with a non-end of important applications. We can find many different initiatives in the USA, Europe and Japan which attempt to achieve such a c…
View article: cuThomasBatch and cuThomasVBatch, CUDA Routines to compute batch of tridiagonal systems on NVIDIA GPUs
cuThomasBatch and cuThomasVBatch, CUDA Routines to compute batch of tridiagonal systems on NVIDIA GPUs Open
Summary The solving of tridiagonal systems is one of the most computationally expensive parts in many applications, so that multiple studies have explored the use of NVIDIA GPUs to accelerate such computation. However, these studies have m…
View article: DROM
DROM Open
In the design of future HPC systems, research in resource management is showing an increasing interest in a more dynamic control of the available resources. It has been proven that enabling the jobs to change the number of computing resour…
View article: Variable Batched DGEMM
Variable Batched DGEMM Open
Many scientific applications are in need to solve a high number of small-size independent problems. These individual problems do not provide enough parallelism and then, these must be computed as a batch. Today, vendors such as Intel and N…
View article: Simulating the behavior of the Human Brain on GPUs
Simulating the behavior of the Human Brain on GPUs Open
The simulation of the behavior of the Human Brain is one of the most important challenges in computing today. The main problem consists of finding efficient ways to manipulate and compute the huge volume of data that this kind of simulatio…
View article: cuHinesBatch: Solving Multiple Hines systems on GPUs Human Brain Project * *This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 720270 (HBP SGA1), from the Spanish Ministry of Economy and Competitiveness under the project Computación de Altas Prestaciones VII (TIN2015-65316-P) and the Departament d'Innovació, Universitats i Empresa de la Generalitat de Catalunya, under project MPEXPAR: Models de Programació i Entorns d'Execució Paral lels (2014-SGR-1051). We thank the support of NVIDIA through the BSC/UPC NVIDIA GPU Center of Excellence. Antonio J. Peña is cofinanced by the Spanish Ministry of Economy and Competitiveness under Juan de la Cierva fellowship number IJCI-2015-23266.
cuHinesBatch: Solving Multiple Hines systems on GPUs Human Brain Project * *This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 720270 (HBP SGA1), from the Spanish Ministry of Economy and Competitiveness under the project Computación de Altas Prestaciones VII (TIN2015-65316-P) and the Departament d'Innovació, Universitats i Empresa de la Generalitat de Catalunya, under project MPEXPAR: Models de Programació i Entorns d'Execució Paral lels (2014-SGR-1051). We thank the support of NVIDIA through the BSC/UPC NVIDIA GPU Center of Excellence. Antonio J. Peña is cofinanced by the Spanish Ministry of Economy and Competitiveness under Juan de la Cierva fellowship number IJCI-2015-23266. Open
The simulation of the behavior of the Human Brain is one of the most important challenges today in computing. The main problem consists of finding efficient ways to manipulate and compute the huge volume of data that this kind of simulatio…