Wyniki wyszukiwania dla: OVERLAPPING COMMUNICATION AND COMPUTATIONS

• Benchmarking overlapping communication and computations with multiple streams for modern GPUs

  Publikacja

  • P. Czarnul

  - Annals of Computer Science and Information Systems - Rok 2018

  The paper presents benchmarking a multi-stream application processing a set of input data arrays. Tests have been performed and execution times measured for various numbers of streams and various compute intensities measured as the ratio of kernel compute time and data transfer time. As such, the application and benchmarking is representative of frequently used operations such as vector weighted sum, matrix multiplication etc....

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• Investigation of Parallel Data Processing Using Hybrid High Performance CPU + GPU Systems and CUDA Streams

  Publikacja

  • P. Czarnul

  - COMPUTING AND INFORMATICS - Rok 2020

  The paper investigates parallel data processing in a hybrid CPU+GPU(s) system using multiple CUDA streams for overlapping communication and computations. This is crucial for efficient processing of data, in particular incoming data stream processing that would naturally be forwarded using multiple CUDA streams to GPUs. Performance is evaluated for various compute time to host-device communication time ratios, numbers of CUDA streams,...

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• Parallelization of large vector similarity computations in a hybrid CPU+GPU environment

  Publikacja

  • P. Czarnul

  - JOURNAL OF SUPERCOMPUTING - Rok 2018

  The paper presents design, implementation and tuning of a hybrid parallel OpenMP+CUDA code for computation of similarity between pairs of a large number of multidimensional vectors. The problem has a wide range of applications, and consequently its optimization is of high importance, especially on currently widespread hybrid CPU+GPU systems targeted in the paper. The following are presented and tested for computation of all vector...

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• Benchmarking Performance of a Hybrid Intel Xeon/Xeon Phi System for Parallel Computation of Similarity Measures Between Large Vectors

  Publikacja

  • P. Czarnul

  - INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING - Rok 2016

  The paper deals with parallelization of computing similarity measures between large vectors. Such computations are important components within many applications and consequently are of high importance. Rather than focusing on optimization of the algorithm itself, assuming specific measures, the paper assumes a general scheme for finding similarity measures for all pairs of vectors and investigates optimizations for scalability...

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• A multithreaded CUDA and OpenMP based power‐aware programming framework for multi‐node GPU systems

  Publikacja

  • P. Czarnul

  - CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE - Rok 2023

  In the paper, we have proposed a framework that allows programming a parallel application for a multi-node system, with one or more GPUs per node, using an OpenMP+extended CUDA API. OpenMP is used for launching threads responsible for management of particular GPUs and extended CUDA calls allow to manage CUDA objects, data and launch kernels. The framework hides inter-node MPI communication from the programmer who can benefit from...

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• Parallel Programming for Modern High Performance Computing Systems

  Publikacja

  • P. Czarnul

  - Rok 2018

  In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and...

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• Performance and Power-Aware Modeling of MPI Applications for Cluster Computing

  Publikacja

  • J. Proficz
  • P. Czarnul

  - Rok 2016

  The paper presents modeling of performance and power consumption when running parallel applications on modern cluster-based systems. The model includes basic so-called blocks representing either computations or communication. The latter includes both point-to-point and collective communication. Real measurements were performed using MPI applications and routines run on three different clusters with both Infiniband and Gigabit Ethernet...

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• Optimization of Data Assignment for Parallel Processing in a Hybrid Heterogeneous Environment Using Integer Linear Programming

  Publikacja

  • T. M. Boiński
  • P. Czarnul

  - COMPUTER JOURNAL - Rok 2021

  In the paper we investigate a practical approach to application of integer linear programming for optimization of data assignment to compute units in a multi-level heterogeneous environment with various compute devices, including CPUs, GPUs and Intel Xeon Phis. The model considers an application that processes a large number of data chunks in parallel on various compute units and takes into account computations, communication including...

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• ENGINEERING COMPUTATIONS

  Czasopisma

  ISSN: 0264-4401 , eISSN: 1758-7077

• Modeling SPMD Application Execution Time

  Publikacja

  • J. Kuchta

  - Rok 2016

  Parallel applications in a Single Process Multiple Data paradigm assume splitting huge amounts of data to multiple processors working in parallel at small data packets. As the individual data packets are not independent, the processors must interact with each other to exchange results of the calculations with their adjacent partners and take these results into account in their own computations. An example of SPMD is geometric parallelism...