Search results for: GPU CLUSTER

• PVM Web Cluster: integration of PVM clusters using Web services and CORBA.

  Publication

  • P. Czarnul

  - LECTURE NOTES IN COMPUTER SCIENCE - Year 2003

  Proponujemy nową architekturę i jej implementację PVM Web Cluster, która umożliwia łatwe zrównoleglanie wykonania zadań PVM zarówno na geograficznie rozproszone klastry PVM jak i wewnątrz nich. Uruchamianie zadań jest wykonywane poprzez wywołanie usługi sieciowej (Web service), która negocjuje najlepszy klaster (klastry) dla danego zadania i komunikuje się z klastrami za pomocą standardu CORBA.

• The role of clusters as collective actors in the energy transformation: the case of Mazovia Cluster ICT

  Publication

  • A. Lis
  • A. Radzio

  - Competitiveness Review - Year 2023

  Purpose – In our paper we aim to show the possibilities of implementing the idea of sustainability in the context of energy transformation using the concept of an industrial cluster. The implementation of the idea of sustainability is of particular importance from the perspective of the functioning of the meta-organisations involved in the implementation and promotion of decarbonisation processes. Industrial clusters, as collective...

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

  Publication

  • P. Czarnul

  - JOURNAL OF SUPERCOMPUTING - Year 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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• Implementation of FDTD-compatible Green's function on heterogeneous CPU-GPU parallel processing system

  Publication

  • T. Stefański

  - Progress in Electromagnetics Research-PIER - Year 2013

  This paper presents an implementation of the FDTD-compatible Green's function on a heterogeneous parallel processing system. The developed implementation simultaneously utilizes computational power of the central processing unit (CPU) and the graphics processing unit (GPU) to the computational tasks best suited to each architecture. Recently, closed-form expression for this discrete Green's function (DGF) was derived, which facilitates...

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• JOURNAL OF CLUSTER SCIENCE

  Journals

  ISSN: 1040-7278 , eISSN: 1572-8862

• Parallelization of Selected Algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU+Xeon Phi Environment

  Publication

  • A. Krzywaniak
  • P. Czarnul

  - Advances in Intelligent Systems and Computing - Year 2017

  In the paper we present parallel implementations as well as execution times and speed-ups of three different algorithms run in various environments such as on a workstation with multi-core CPUs and a cluster. The parallel codes, implementing the master-slave model in C+MPI, differ in computation to communication ratios. The considered problems include: a genetic algorithm with various ratios of master processing time to communication...

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

  Publication

  • P. Czarnul

  - COMPUTING AND INFORMATICS - Year 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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• Efficient parallel implementation of crowd simulation using a hybrid CPU+GPU high performance computing system

  Publication

  • J. Skrzypczak
  • P. Czarnul

  - SIMULATION MODELLING PRACTICE AND THEORY - Year 2023

  In the paper we present a modern efficient parallel OpenMP+CUDA implementation of crowd simulation for hybrid CPU+GPU systems and demonstrate its higher performance over CPU-only and GPU-only implementations for several problem sizes including 10 000, 50 000, 100 000, 500 000 and 1 000 000 agents. We show how performance varies for various tile sizes and what CPU–GPU load balancing settings shall be preferred for various domain...

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• Cluster Integration for the Cluster-Based Instance Selection

  Publication

  • I. Czarnowski
  • P. Jędrzejowicz

  - Year 2010

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• Auto-tuning methodology for configuration and application parameters of hybrid CPU + GPU parallel systems based on expert knowledge

  Publication

  • P. Czarnul
  • P. Rościszewski

  - Year 2020

  Auto-tuning of configuration and application param- eters allows to achieve significant performance gains in many contemporary compute-intensive applications. Feasible search spaces of parameters tend to become too big to allow for exhaustive search in the auto-tuning process. Expert knowledge about the utilized computing systems becomes useful to prune the search space and new methodologies are needed in the face of emerging heterogeneous...

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