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53. Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core Architectures

Author

Bientinesi, Paolo, Igual, Francisco D., Kressner, Daniel, Quintana-Ortí, Enrique S., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wyrzykowski, Roman, editor, Dongarra, Jack, editor, Karczewski, Konrad, editor, and Wasniewski, Jerzy, editor

Published
2010
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54. An Efficient Implementation of GPU Virtualization in High Performance Clusters

Author

Duato, José, Igual, Francisco D., Mayo, Rafael, Peña, Antonio J., Quintana-Ortí, Enrique S., Silla, Federico, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lin, Hai-Xiang, editor, Alexander, Michael, editor, Forsell, Martti, editor, Knüpfer, Andreas, editor, Prodan, Radu, editor, Sousa, Leonel, editor, and Streit, Achim, editor

Published
2010
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55. An Extension of the StarSs Programming Model for Platforms with Multiple GPUs

Author

Ayguadé, Eduard, Badia, Rosa M., Igual, Francisco D., Labarta, Jesús, Mayo, Rafael, Quintana-Ortí, Enrique S., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Sips, Henk, editor, Epema, Dick, editor, and Lin, Hai-Xiang, editor

Published
2009
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56. A Proposal to Extend the OpenMP Tasking Model for Heterogeneous Architectures

Author

Ayguade, Eduard, Badia, Rosa M., Cabrera, Daniel, Duran, Alejandro, Gonzalez, Marc, Igual, Francisco, Jimenez, Daniel, Labarta, Jesus, Martorell, Xavier, Mayo, Rafael, Perez, Josep M., Quintana-Ortí, Enrique S., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Müller, Matthias S., editor, de Supinski, Bronis R., editor, and Chapman, Barbara M., editor

Published
2009
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57. Attaining High Performance in General-Purpose Computations on Current Graphics Processors

Author

Igual, Francisco D., Mayo, Rafael, Quintana-Ortí, Enrique S., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Palma, José M. Laginha M., editor, Amestoy, Patrick R., editor, Daydé, Michel, editor, Mattoso, Marta, editor, and Lopes, João Correia, editor

Published
2008
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58. Solving Dense Linear Systems on Graphics Processors

Author

Barrachina, Sergio, Castillo, Maribel, Igual, Francisco D., Mayo, Rafael, Quintana-Ortí, Enrique S., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Luque, Emilio, editor, Margalef, Tomàs, editor, and Benítez, Domingo, editor

Published
2008
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71. Extending OpenMP to Survive the Heterogeneous Multi-Core Era

Author

Ayguadé, Eduard, Badia, Rosa M., Bellens, Pieter, Cabrera, Daniel, Duran, Alejandro, Ferrer, Roger, Gonzàlez, Marc, Igual, Francisco, Jiménez-González, Daniel, Labarta, Jesús, Martinell, Luis, Martorell, Xavier, Mayo, Rafael, Pérez, Josep M., Planas, Judit, and Quintana-Ortí, Enrique S.

Published
2010
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72. Análisis cuantitativo del buffy coat en medicina veterinaria canina

Author

Lavín González, Santiago, Mora Igual, Francisco Javier, and Viñas Borrell, Luis

Subjects
Buffy coat, Perro, Dog, Hematología, Haematology
Abstract

En el presente trabajo se evalúa la utilidad clínica del análisis cuantitativo del bufly coat mediante el Sistema QBC-V para su uso en Medicina Veterinaria canina. Se compara el Sistema QBC-V frente al método manual de referencia en 100 muestras de sangre de perro. Los resultados obtenidos indican que existe una correlación muy elevada para el valor hematocrito y el recuento de leucocitos y granulocitos (neutrófilos, eosinófilos y basófilos), elevada para el recuento de agranulocitos (linfocitos y monocitos) y baja para las plaquetas. This study evaluates the clinical utility value of the "buffy coat" quantitative analysis by means of the QBC-V system for canine Veterinary Medicine purposes. Tbe QBC-V system is compared with the reference manual method in the blood samples of lOOdogs. Tbe results obtained shaw that the height of the "buffy coat" correlates very highly with the haematocrit value, totalleucocyte and granulocyte (neutropbils, eosinophils and basophils) count, highly with the agranulocyte (limphocytes and monocytes) count and lowly with the platelets count.

Published
2021

74. Implementation and Performance Evaluation of a Semantic Image Segmentation System on a Mobile Device

Author

Piñuel Moreno, Luis, Igual, Francisco D., Carreño Alocén, Esther, Piñuel Moreno, Luis, Igual, Francisco D., and Carreño Alocén, Esther

Abstract

There has been a growth of interest in semantic segmentation in recent times, and its employment in tasks such as autonomous driving, medical diagnosis or video surveillance is now crucial. The training and inference processes in Deep Neural Networks (DNNs) are performed in data centres, which causes unbearable latency. Edge Computing is a response to this limitation. Nevertheless, it is restricted by the computing power and energy consumption in devices. This project proposes the implementation of algorithms for semantic segmentation of images using DeepLab and TensorFlow as a basis, along with its adaptation and throughput evaluation in terms of response time in a mobile device among different semantic segmentation models. A Raspberry Pi was used along with a Coral USB Accelerator by Google, which provides an Edge TPU to accelerate inference in Machine Learning by quantizing the models. The final goal is to prove an efficient implementation in this low energy consumption architecture., En los últimos tiempos ha habido un aumento en el interés por la segmentación semántica, y su uso en tareas como la conducción autónoma, el diagnóstico médico o la videovigilancia es crucial. Los procesos de entrenamiento e inferencia en Redes Neuronales Profundas (DNNs) se realizan en centros de datos, lo que causa una latencia insostenible. El Edge Computing es una respuesta a esta limitación, pero está restringido por la potencia computacional y el consumo de energía de los dispositivos. Este proyecto propone la implementación de algoritmos de segmentación semántica de imágenes usando como base DeepLab y TensorFlow, además de su adaptación y evaluación de rendimiento según el tiempo de respuesta en dispositivos móviles entre diferentes modelos de segmentación semántica. Para ello se ha utilizado una Raspberry Pi y se ha optado por el acelerador USB Coral, de Google, que ofrece un Edge TPU para acelerar la inferencia en Machine Learning mediante la cuantización. El objetivo final es demostrar que una implementación eficiente en una arquitectura de bajo consumo energético es posible.

Published
2021

77. A Proposal to Extend the OpenMP Tasking Model for Heterogeneous Architectures

Author

Ayguade, Eduard, primary, Badia, Rosa M., additional, Cabrera, Daniel, additional, Duran, Alejandro, additional, Gonzalez, Marc, additional, Igual, Francisco, additional, Jimenez, Daniel, additional, Labarta, Jesus, additional, Martorell, Xavier, additional, Mayo, Rafael, additional, Perez, Josep M., additional, and Quintana-Ortí, Enrique S., additional

Published
2009
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81. Programming parallel dense matrix factorizations with look-ahead and OpenMP

Author

Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, European Commission, Generalitat Valenciana, European Regional Development Fund, Ministerio de Economía y Competitividad, Ministerio de Educación, Cultura y Deporte, Comisión Interministerial de Ciencia y Tecnología, Catalán, Sandra, Castelló, Adrián, Igual, Francisco D., Rodríguez-Sánchez, Rafael, Quintana Ortí, Enrique Salvador, Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, European Commission, Generalitat Valenciana, European Regional Development Fund, Ministerio de Economía y Competitividad, Ministerio de Educación, Cultura y Deporte, Comisión Interministerial de Ciencia y Tecnología, Catalán, Sandra, Castelló, Adrián, Igual, Francisco D., Rodríguez-Sánchez, Rafael, and Quintana Ortí, Enrique Salvador

Abstract

[EN] We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using OpenMP, that departs from the legacy (or conventional) solution, which simply extracts concurrency from a multi-threaded version of basic linear algebra subroutines (BLAS). The proposed approach is also different from the more sophisticated runtime-based implementations, which decompose the operation into tasks and identify dependencies via directives and runtime support. Instead, our strategy attains high performance by explicitly embedding a static look-ahead technique into the DMF code, in order to overcome the performance bottleneck of the panel factorization, and realizing the trailing update via a cache-aware multi-threaded implementation of the BLAS. Although the parallel algorithms are specified with a high level of abstraction, the actual implementation can be easily derived from them, paving the road to deriving a high performance implementation of a considerable fraction of linear algebra package (LAPACK) functionality on any multicore platform with an OpenMP-like runtime.

Published
2020

82. Integration and exploitation of intra-routine malleability in BLIS

Author

Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, Comunidad de Madrid, Agencia Estatal de Investigación, European Regional Development Fund, Ministerio de Economía y Competitividad, Rodríguez-Sánchez, Rafael, Igual, Francisco D., Quintana-Ortí, Enrique S., Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, Comunidad de Madrid, Agencia Estatal de Investigación, European Regional Development Fund, Ministerio de Economía y Competitividad, Rodríguez-Sánchez, Rafael, Igual, Francisco D., and Quintana-Ortí, Enrique S.

Abstract

[EN] Malleability is a property of certain applications (or tasks) that, given an external request or autonomously, can accommodate a dynamic modification of the degree of parallelism being exploited at runtime. Malleability improves resource usage (core occupation) on modern multicore architectures for applications that exhibit irregular and divergent execution paths and heavily depend on the underlying library performance to attain high performance. The integration of malleability within high-performance instances of the Basic Linear Algebra Subprograms (BLAS) is nonexistent, and, in addition, it is difficult to attain given the rigidity of current application programming interfaces (APIs). In this paper, we overcome these issues presenting the integration of a malleability mechanism within BLIS, a high-performance and portable framework to implement BLAS-like operations. For this purpose, we leverage low-level (yet simple) APIs to integrate on-demand malleability across all Level-3 BLAS routines, and we demonstrate the performance benefits of this approach by means of a higher-level dense matrix operation: the LU factorization with partial pivoting and look-ahead

Published
2020

87. Algorithm 994

Author

Hernando, Fernando, primary, Igual, Francisco D., additional, and Quintana-Ortí, Gregorio, additional

Published
2019
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91. Bibliotecas De Álgebra Lineal Densa Conscientes De La Asimetría Del Procesador

Author

Alonso, Pedro, Catalán, Sandra, Costero, Luis, Herrero, José R., Igual, Francisco D., Quintana-Ortí, Enrique S., Olcoz, Katzalin, and Rodríguez-Sánchez, Rafael

Subjects
Álgebra lineal densa, BLAS, LAPACK, Procesadores multicore asimétricos, Multihilo, Computación de altas prestaciones
Abstract

En este artículo se presenta una implementación de BLAS, basada en la biblioteca BLIS, para AMPs. La evaluación de esta versión consciente de la asimetría se lleva a cabo a través de tres operaciones comunes de la biblioteca LAPACK: la factorización LU, la factorización Cholesky y la reducción a la forma tridiagonal. Los tests iniciales que emplean la implementación para AMPs directamente muestran las mejoras obtenidas con la adaptación del software al utilizarlo como base de las operaciones LAPACK, obteniendo hasta un 90% del rendimiento máximo esperado. Además, estas mejoras se ven incrementadas al combinar la versión diseñada para AMPs con un runtime, en cuyo caso se obtienen rendimientos hasta un 30% superiores respecto a la utilización directa de la versión para AMPs.

Published
2017
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95. Scheduling Elastic Machine Learning Process through Containers.

Author

Ariel Libutti, Leandro, Igual, Francisco, and De Giusti, Laura

Subjects
MACHINE learning, CONTAINERS
Abstract

This article, titled "Scheduling Elastic Machine Learning Process through Containers," discusses the challenges of fully utilizing resources in new-generation multi-core and many-core servers. The article proposes the use of containerized applications and horizontal scalability to address this issue. The objectives of the thesis include modifying resource management schemes, designing internal controllers for containers, and implementing a scheduler for containers running elastic applications. The contributions of the thesis include addressing underutilization and oversubscription in container execution, adding elasticity to a specific machine learning framework (Tensorflow), designing an ad-hoc scheduling engine for ML containers, and highlighting the advantages of elastic scheduling. The article concludes by discussing future work and providing citations for related publications. [Extracted from the article]

Published
2023
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96. Algorithm 994: Fast Implementations of the Brouwer-Zimmermann Algorithm for the Computation of the Minimum Distance of a Random Linear Code

Author

Hernando, Fernando, Igual, Francisco D., and Quintana-Ortí, Gregorio

Subjects
FOS: Computer and information sciences, Information Theory (cs.IT), Computer Science - Information Theory, minimum distance, 68Q30, 68Q25, 65F30, 11Y16, linear codes, information theory
Abstract

The minimum distance of an error-correcting code is an important concept in information theory. Hence, computing the minimum distance of a code with a minimum computational cost is crucial to many problems in this area. In this article, we present and assess a family of implementations of both the brute-force algorithm and the Brouwer-Zimmermann algorithm for computing the minimum distance of a random linear code over that are faster than current implementations, both in the commercial and public domain. In addition to the basic sequential implementations, we present parallel and vectorized implementations that produce high performances on modern architectures. The attained performance results show the benefits of the developed optimized algorithms, which obtain remarkable improvements compared with state-of-the-art implementations widely used nowadays.

Published
2016

99. Multi-Threaded Dense Linear Algebra Libraries for Low-Power Asymmetric Multicore Processors

Author

Catal��n, Sandra, Herrero, Jos�� R., Igual, Francisco D., Rodr��guez-S��nchez, Rafael, and Quintana-Ort��, Enrique S.

Subjects
FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Mathematical Software, Distributed, Parallel, and Cluster Computing (cs.DC), Mathematical Software (cs.MS)
Abstract

Dense linear algebra libraries, such as BLAS and LAPACK, provide a relevant collection of numerical tools for many scientific and engineering applications. While there exist high performance implementations of the BLAS (and LAPACK) functionality for many current multi-threaded architectures,the adaption of these libraries for asymmetric multicore processors (AMPs)is still pending. In this paper we address this challenge by developing an asymmetry-aware implementation of the BLAS, based on the BLIS framework, and tailored for AMPs equipped with two types of cores: fast/power hungry versus slow/energy efficient. For this purpose, we integrate coarse-grain and fine-grain parallelization strategies into the library routines which, respectively, dynamically distribute the workload between the two core types and statically repartition this work among the cores of the same type. Our results on an ARM big.LITTLE processor embedded in the Exynos 5422 SoC, using the asymmetry-aware version of the BLAS and a plain migration of the legacy version of LAPACK, experimentally assess the benefits, limitations, and potential of this approach.

Published
2015

100. Performance and Energy Optimization of Matrix Multiplication on Asymmetric big.LITTLE Processors

Author

Catal��n, Sandra, Igual, Francisco D., Mayo, Rafael, Pi��uel, Luis, Quintana-Ort��, Enrique S., and Rodr��guez-S��nchez, Rafael

Subjects
FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)
Abstract

Asymmetric processors have emerged as an appealing technology for severely energy-constrained environments, especially in the mobile market where heterogeneity in applications is mainstream. In addition, given the growing interest on ultra low-power architectures for high performance computing, this type of platforms are also being investigated in the road towards the implementation of energy- efficient high-performance scientific applications. In this paper, we propose a first step towards a complete implementation of the BLAS interface adapted to asymmetric ARM big.LITTLE processors, analyzing the trade-offs between performance and energy efficiency when compared to existing homogeneous (symmetric) multi-threaded BLAS implementations. Our experimental results reveal important gains in performance while maintaining the energy efficiency of homogeneous solutions by efficiently exploiting all the resources of the asymmetric processor., Presented at HiPEAC 2015, Amsterdam. Foundation of the Asymmetric BLIS implementation

Published
2015

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