Many parallel systems offer a simple view of memory: all storage cells are addressed uniformly. Despite a uniform view of the memory, the machines differ significantly in their memory system performance (and may offer slightly different consistency models). Cached and local memory accesses are much faster than remote read accesses to data generated by another processor or remote write to data intentionally pushed to memories close to another processor. The bandwidth from/to cache and local memory can be an order of magnitude (or more) higher than the bandwidth to/from remote memory. The situation is further complicated by the heavy influence of the access pattern (i.e. the spatial locality of reference) on both the local and the remote memo...
This paper studies application performance on systems with strongly non-uniform remote memory access...
Recently there has been an increasing interest in models of parallel computation that account for th...
this paper, we examine the relationship between these factors in the context of large-scale, network...
This work explores the tradeoffs of the memory system of a new massively parallel multiprocessor in ...
Recently there has been an increasing interest in models of parallel computation that account for th...
Efficient data motion has been key in high performance computing almost since the first electronic c...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to im-pr...
. This paper studies the locality analysis problem for sharedmemory multiprocessors, a class of para...
Today, VLSI systems for computationally demanding applications are being built as Systems-on-Chip (S...
Abstract---- The diminishing differences between the hardware structure of shared memory and mes-sag...
This paper explores an important behavior of memory access instructions, called access region locali...
Data locality is a key factor for the performance of parallel systems. In a Distribute
Massively parallel computing holds the promise of extreme performance. The utility of these systems ...
We discuss some techniques for preserving locality of reference in index spaces when mapped to memor...
This paper studies application performance on systems with strongly non-uniform remote memory access...
This paper studies application performance on systems with strongly non-uniform remote memory access...
Recently there has been an increasing interest in models of parallel computation that account for th...
this paper, we examine the relationship between these factors in the context of large-scale, network...
This work explores the tradeoffs of the memory system of a new massively parallel multiprocessor in ...
Recently there has been an increasing interest in models of parallel computation that account for th...
Efficient data motion has been key in high performance computing almost since the first electronic c...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to im-pr...
. This paper studies the locality analysis problem for sharedmemory multiprocessors, a class of para...
Today, VLSI systems for computationally demanding applications are being built as Systems-on-Chip (S...
Abstract---- The diminishing differences between the hardware structure of shared memory and mes-sag...
This paper explores an important behavior of memory access instructions, called access region locali...
Data locality is a key factor for the performance of parallel systems. In a Distribute
Massively parallel computing holds the promise of extreme performance. The utility of these systems ...
We discuss some techniques for preserving locality of reference in index spaces when mapped to memor...
This paper studies application performance on systems with strongly non-uniform remote memory access...
This paper studies application performance on systems with strongly non-uniform remote memory access...
Recently there has been an increasing interest in models of parallel computation that account for th...
this paper, we examine the relationship between these factors in the context of large-scale, network...