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Recent advances in matrix partitioning for parallel computing on heterogeneous platforms
The problem of partitioning dense matrices into sets of sub-matrices has received increased
attention recently and is crucial when considering dense linear algebra and kernels with …
attention recently and is crucial when considering dense linear algebra and kernels with …
[LIBRO][B] Parallel algorithms
Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms
presents a rigorous yet accessible treatment of theoretical models of parallel computation …
presents a rigorous yet accessible treatment of theoretical models of parallel computation …
Enabling and scaling matrix computations on heterogeneous multi-core and multi-GPU systems
We present a new approach to utilizing all CPU cores and all GPUs on heterogeneous
multicore and multi-GPU systems to support dense matrix computations efficiently. The main …
multicore and multi-GPU systems to support dense matrix computations efficiently. The main …
A novel data-partitioning algorithm for performance optimization of data-parallel applications on heterogeneous HPC platforms
Modern HPC platforms have become highly heterogeneous owing to tight integration of
multicore CPUs and accelerators (such as Graphics Processing Units, Intel Xeon Phis, or …
multicore CPUs and accelerators (such as Graphics Processing Units, Intel Xeon Phis, or …
[PDF][PDF] An overview of heterogeneous high performance and grid computing
This paper is an overview the ongoing academic research, development, and uses of
heterogeneous parallel and distributed computing. This work is placed in the context of …
heterogeneous parallel and distributed computing. This work is placed in the context of …
Data partitioning with a functional performance model of heterogeneous processors
In this paper, we address the problem of optimal distribution of computational tasks on a
network of heterogeneous computers when one or more tasks do not fit into the main …
network of heterogeneous computers when one or more tasks do not fit into the main …
The master-slave paradigm with heterogeneous processors
We revisit the master-slave tasking paradigm in the context of heterogeneous processors.
We assume that communications are handled by a bus and, therefore, at most one …
We assume that communications are handled by a bus and, therefore, at most one …
[LIBRO][B] High performance heterogeneous computing
J Dongarra, AL Lastovetsky - 2009 - books.google.com
An analytical overview of the state of the art, open problems, and future trends in
heterogeneous parallel and distributed computing This book provides an overview of the …
heterogeneous parallel and distributed computing This book provides an overview of the …
Centralized versus distributed schedulers for bag-of-tasks applications
O Beaumont, L Carter, J Ferrante… - … on Parallel and …, 2008 - ieeexplore.ieee.org
Multiple applications that execute concurrently on heterogeneous platforms compete for
CPU and network resources. In this paper, we consider the problem of scheduling …
CPU and network resources. In this paper, we consider the problem of scheduling …
Energy efficiency of load balancing for data-parallel applications in heterogeneous systems
The use of heterogeneous systems in supercomputing is on the rise as they improve both
performance and energy efficiency. However, the programming of these machines requires …
performance and energy efficiency. However, the programming of these machines requires …