Add to ORKGWe report the progress of an ongoing project that investigates the reusability of LAPACK code for distributed memory MIMD architectures. Major recent revisions include the adoption of a two-dimensional data mapping. This change enhances performance, scalability, and flexibility of the algorithms. Performance results from the Intel iPSC/860 and Intel Touchstone Delta systems are included
The Multi-Level Computing Architecture (MLCA) is a novel system-on-chip architecture for embedded sy...
Over the last few decades, Message Passing Interface (MPI) has become the parallel-communication sta...
As the performance of DRAM devices falls more and more behind computing capabilities, the limitation...
his paper presents a technique that may be used to transform SIMD shared memory parallel s algorithm...
This paper discusses data management techniques for mapping a large data space onto the memory hiera...
This paper presents an overview of the LAPACK library, a portable, public-domain library to solve th...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
This article describes the context, design, and recent development of the LAPACK for Clusters (LFC) ...
A comparative analysis of data management schemes for Distributed Memory MIMD systems for applicatio...
We will cover distributed memory programming of high-performance supercomputers and datacenter compu...
The genesis distributed-memory benchmarks represent a significant step forward in the evaluation of ...
Software overheads can be a significant cause of performance degradation in parallel numerical libra...
AbstractIn this work the behavior of the multithreaded implementation of some LAPACK routines on PLA...
Our experimental results showed that block based algorithms for numerically intensive applications a...
Abstract—Limited Local Memory (LLM) architectures are power-efficient, scalable memory multi-core ar...
The Multi-Level Computing Architecture (MLCA) is a novel system-on-chip architecture for embedded sy...
Over the last few decades, Message Passing Interface (MPI) has become the parallel-communication sta...
As the performance of DRAM devices falls more and more behind computing capabilities, the limitation...
his paper presents a technique that may be used to transform SIMD shared memory parallel s algorithm...
This paper discusses data management techniques for mapping a large data space onto the memory hiera...
This paper presents an overview of the LAPACK library, a portable, public-domain library to solve th...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
This article describes the context, design, and recent development of the LAPACK for Clusters (LFC) ...
A comparative analysis of data management schemes for Distributed Memory MIMD systems for applicatio...
We will cover distributed memory programming of high-performance supercomputers and datacenter compu...
The genesis distributed-memory benchmarks represent a significant step forward in the evaluation of ...
Software overheads can be a significant cause of performance degradation in parallel numerical libra...
AbstractIn this work the behavior of the multithreaded implementation of some LAPACK routines on PLA...
Our experimental results showed that block based algorithms for numerically intensive applications a...
Abstract—Limited Local Memory (LLM) architectures are power-efficient, scalable memory multi-core ar...
The Multi-Level Computing Architecture (MLCA) is a novel system-on-chip architecture for embedded sy...
Over the last few decades, Message Passing Interface (MPI) has become the parallel-communication sta...
As the performance of DRAM devices falls more and more behind computing capabilities, the limitation...