We describe a methodology for developing high performance programs running on clusters of SMP nodes. Our methodology is based on a small kernel (SIMPLE) of collective communication primitives that make efficient use of the hybrid shared and message passing environment. We illustrate the power of our methodology by presenting experimental results for sorting integers, two-dimensional fast Fourier transforms (FFT), and constraint-satisfied searching. Our testbed is a cluster of DEC AlphaServer 2100 4/275 nodes interconnected by an ATM switch. (Also cross-referenced as UMIACS-TR-97-48.
Hybrid programming, whereby shared-memory and message-passing programming techniques are combined wi...
Over the last few decades, Message Passing Interface (MPI) has become the parallel-communication sta...
Since the invention of the transistor, clock frequency increase was the primary method of improving ...
We describe a methodology for developing high performance programs running on clusters of SMP nodes....
The Message Passing Interface (MPI) has been widely used in the area of parallel computing due to it...
The mixing of shared memory and message passing programming models within a single application has o...
Nowadays, cluster of SMPs has been becoming the main architecture in the super computing world. Clus...
With the end of Dennard scaling, future high performance computers are expected to consist of distri...
Parallel computing on clusters of workstations and personal computers has very high potential, sinc...
Multicomputer (distributed memory MIMD machines) have emerged as inexpensive, yet powerful parallel...
We present novel hard- and software that efficiently implements communication primitives for p...
Modern computers are based on manycore architectures, with multiple processors on a single silicon ...
Clusters of symmetric multiprocessors (SMPs) have emerged as the primary candidates for large scale...
Parallel systems supporting a shared memory programming interface have been implemented both in soft...
Even today supercomputing systems have already reached millions of cores for a single machine, which...
Hybrid programming, whereby shared-memory and message-passing programming techniques are combined wi...
Over the last few decades, Message Passing Interface (MPI) has become the parallel-communication sta...
Since the invention of the transistor, clock frequency increase was the primary method of improving ...
We describe a methodology for developing high performance programs running on clusters of SMP nodes....
The Message Passing Interface (MPI) has been widely used in the area of parallel computing due to it...
The mixing of shared memory and message passing programming models within a single application has o...
Nowadays, cluster of SMPs has been becoming the main architecture in the super computing world. Clus...
With the end of Dennard scaling, future high performance computers are expected to consist of distri...
Parallel computing on clusters of workstations and personal computers has very high potential, sinc...
Multicomputer (distributed memory MIMD machines) have emerged as inexpensive, yet powerful parallel...
We present novel hard- and software that efficiently implements communication primitives for p...
Modern computers are based on manycore architectures, with multiple processors on a single silicon ...
Clusters of symmetric multiprocessors (SMPs) have emerged as the primary candidates for large scale...
Parallel systems supporting a shared memory programming interface have been implemented both in soft...
Even today supercomputing systems have already reached millions of cores for a single machine, which...
Hybrid programming, whereby shared-memory and message-passing programming techniques are combined wi...
Over the last few decades, Message Passing Interface (MPI) has become the parallel-communication sta...
Since the invention of the transistor, clock frequency increase was the primary method of improving ...