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Extending an Application-Level Checkpointing Tool to Provide Fault Tolerance Support to OpenMP Applications
(Technische Universitaet Graz * Institut fuer Informationssysteme und Computer Medien,Graz University of Technology, Institute for Information Systems and Computer Media, 2014-09)
[Abstract] Despite the increasing popularity of shared-memory systems, there is a lack of tools for providing fault tolerance support to shared-memory applications. CPPC (ComPiler for Portable Checkpointing) is an ...
RGen: Data Generator for Benchmarking Big Data Workloads
(MDPI, 2021)
[Abstract] This paper presents RGen, a parallel data generator for benchmarking Big Data workloads, which integrates existing features and new functionalities in a standalone tool. The main functionalities developed in ...
Exploiting Heterogeneous Parallelism With the Heterogeneous Programming Library
(Elsevier, 2013)
[Abstract] While recognition of the advantages of heterogeneous computing is steadily growing, the issues of programmability and portability hinder its exploitation. The introduction of the OpenCL standard was a major step ...
Hardware Implementation of Statecharts for FPGA-based Control in Scientific Facilities
(Institute of Electrical and Electronics Engineers, 2020-01-16)
[Abstract]
The problem of generating complex synchronization patterns using automated tools is addressed in this paper. This work was originally motivated by the need of fast and jitter free synchronization in scientific ...
A Portable and Adaptable Fault Tolerance Solution for Heterogeneous Applications
(Academic Press, 2017-06)
[Abstract] Heterogeneous systems have increased their popularity in recent years due to the high performance and reduced energy consumption capabilities provided by using devices such as GPUs or Xeon Phi accelerators. This ...
Performance Optimization of a Parallel Error Correction Tool
(MDPI, 2021)
[Abstract] Due to the continuous development in the field of Next Generation Sequencing (NGS) technologies that have allowed researchers to take advantage of greater genetic samples in less time, it is a matter of relevance ...
CUDA acceleration of MI-based feature selection methods
(Elsevier, 2024-08)
[Abstract]: Feature selection algorithms are necessary nowadays for machine learning as they are capable of removing irrelevant and redundant information to reduce the dimensionality of the data and improve the quality of ...
FastMPJ: a scalable and efficient Java message-passing library
(Springer New York LLC, 2014)
[Abstract] The performance and scalability of communications are key for high performance computing (HPC) applications in the current multi-core era. Despite the significant benefits (e.g., productivity, portability, ...
Design and Implementation of an extended collectives library for unified Parallel C
(Springer New York LLC, 2013)
[Abstract] Unified Parallel C (UPC) is a parallel extension of ANSI C based on the Partitioned Global Address Space (PGAS) programming model, which provides a shared memory view that simplifies code development while it ...
Enhancing in-memory Efficiency for MapReduce-based Data Processing
(Academic Press, 2018-10)
[Abstract] As the memory capacity of computational systems increases, the in-memory data management of Big Data processing frameworks becomes more crucial for performance. This paper analyzes and improves the memory ...