Browsing ICC_Articles by Author "a97ef5f1-761a-40d5-b829-1071b6e0affc"
Now showing items 1-13 of 13
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A framework for genomic sequencing on clusters of multicore and manycore processors
Sage (2016-06)The advances in genomic sequencing during the past few years have motivated the development of fast and reliable software for DNA/RNA sequencing on current high performance architectures. Most of these efforts target ... -
A parallel solver for huge dense linear systems
Elsevier (2011-11)HDSS (Huge Dense Linear System Solver) is a Fortran Application Programming Interface (API) to facilitate the parallel solution of very large dense systems to scientists and engineers. The API makes use of parallelism to ... -
Complete Integration of Team Project-Based Learning Into a Database Syllabus
IEEE (2022-11-07)Team project-based learning (TPBL) combines two learning techniques: 1) project-based learning (PBL) and 2) teamwork. This combination leverages the learning outcomes of both methods and places students in a real work ...
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Dynamic reconfiguration of noniterative scientific applications A case study with HPG aligner
Springer (2018-09)Several studies have proved the benefits of job malleability, that is, the capacity of an application to adapt its parallelism to a dynamically changing number of allocated processors. The most remarkable advantages of ...
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Dynamic spawning of MPI processes applied to malleability
SAGE Publications (2023-05-29)Malleability allows computing facilities to adapt their workloads through resource management systems to maximize the throughput of the facility and the efficiency of the executed jobs. This technique is based on reconfiguring ...
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Exploiting the capabilities of modern GPUs for dense matrix computations
John Wiley & Sons (2009)We present several algorithms to compute the solution of a linear system of equations on a graphics processor (GPU), as well as general techniques to improve their performance, such as padding and hybrid GPU-CPU computation. ...
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FaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters
Mary Ann Liebert (2018-08)We introduce a version of the epistasis test in FaST-LMM for clusters of multithreaded processors. This new software maintains the sensitivity of the original FaST-LMM while delivering acceleration that is close to linear ...
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Highly sensitive and ultrafast read mapping for RNA-seq analysis
Oxford University Press (2016)As sequencing technologies progress, the amount of data produced grows exponentially, shifting the bottleneck of discovery towards the data analysis phase. In particular, currently available mapping solutions for RNA-seq ...
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Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for Energy
IEEE (2014)Wider coverage of observation missions will increase onboard power restrictions while, at the same time, pose higher demands from the perspective of processing time, thus asking for the exploration of novel high-performance ...
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Large-scale linear system solver using secondary storage: self-energy in hybrid nanostructures
Elsevier (2011-02)We present a Fortran library which can be used to solve large-scale dense linear systems, Ax=b. The library is based on the LU decomposition included in the parallel linear algebra library PLAPACK and on its out-of-core ...
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Out-of-core macromolecular simulations on multithreaded architectures
Wiley (2015)We address the solution of large-scale eigenvalue problems that appear in the motion simulation o f com- plex macromolecules on multithreaded platforms, consisting of multicore processors and possibly a graphics processor ...
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Toward the parallelization of GSL
Springer-Verlag (2009)In this paper, we present our joint efforts to design and develop parallel implementations of the GNU Scientific Library for a wide variety of parallel platforms. The multilevel software architecture proposed provides ...
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Unveiling the performance-energy trade-off in iterative linear system solvers for multithreaded processors
Wiley (2015)In this paper, we analyze the interactions occurring in the triangle performance-power-energy for the execu- tion of a pivotal numerical algorithm, the iterative conjugate gradient (CG) method, on a diverse collection ...
