Abstract: A key problem for shared-memory systems is unpredictable perfor-mance. A critical in uence on performance is page placement: a poor choice of home node can severely degrade application performance because of the in-creased latency of accessing remote rather than local data. Two approaches to page placement are the simple policies \ rst-touch " and \round-robin", but nei-ther of these policies suits all applications. We examine the advantages of each strategy, the problems that can result from a poor choice of placement policy, and how these problems can be alleviated by using proxies. Proxies route re-mote read requests via intermediate nodes, where combining is used to reduce contention at the home node. Our simulation ...
This paper compares data distribution methodologies for scaling the perfor-mance of OpenMP on NUMA a...
The cost of a cache miss depends heavily on the location of the main memory that backs the missing l...
Multicore multiprocessors use Non Uniform Memory Ar-chitecture (NUMA) to improve their scalability. ...
Abstract. Some shared-memory applications have execution times linear in the number of processors du...
Abstract. Serialisation can occur when many simultaneous accesses are made to a single node in a dis...
The shared-memory programming model is attractive to programmers of parallel computers because they ...
This paper investigates the performance implications of data placement in OpenMP programs running on...
Application virtual address space is divided into pages, each requiring a virtual-to-physical transl...
This paper makes two important contributions. First, the paper investigates the performance implicat...
In this paper, we compare and contrast two techniques to improve capacity/conflict miss traffic in C...
The problem of placement of threads, or virtual cores, on physical cores in a multicore system has b...
This paper makes two important contributions. First, the paper investigates the performance implicat...
This paper compares data distribution methodologies for scaling the performance of OpenMP on NUMA ar...
This paper makes two important contributions. First, the pa-per investigates the performance implica...
Multicore multiprocessors use a Non Uniform Memory Architecture (NUMA) to improve their scalability....
This paper compares data distribution methodologies for scaling the perfor-mance of OpenMP on NUMA a...
The cost of a cache miss depends heavily on the location of the main memory that backs the missing l...
Multicore multiprocessors use Non Uniform Memory Ar-chitecture (NUMA) to improve their scalability. ...
Abstract. Some shared-memory applications have execution times linear in the number of processors du...
Abstract. Serialisation can occur when many simultaneous accesses are made to a single node in a dis...
The shared-memory programming model is attractive to programmers of parallel computers because they ...
This paper investigates the performance implications of data placement in OpenMP programs running on...
Application virtual address space is divided into pages, each requiring a virtual-to-physical transl...
This paper makes two important contributions. First, the paper investigates the performance implicat...
In this paper, we compare and contrast two techniques to improve capacity/conflict miss traffic in C...
The problem of placement of threads, or virtual cores, on physical cores in a multicore system has b...
This paper makes two important contributions. First, the paper investigates the performance implicat...
This paper compares data distribution methodologies for scaling the performance of OpenMP on NUMA ar...
This paper makes two important contributions. First, the pa-per investigates the performance implica...
Multicore multiprocessors use a Non Uniform Memory Architecture (NUMA) to improve their scalability....
This paper compares data distribution methodologies for scaling the perfor-mance of OpenMP on NUMA a...
The cost of a cache miss depends heavily on the location of the main memory that backs the missing l...
Multicore multiprocessors use Non Uniform Memory Ar-chitecture (NUMA) to improve their scalability. ...