In the near future, semiconductor technology will allow the integration of multiple processors on a chip or multichipmodule (MCM). In this paper we investigate the architecture and partitioning of resources between processors and cache memory for single chip and MCM-based multiprocessors. We study the performance of a cluster-based multiprocessor architecture in which processors within a cluster are tightly coupled via a shared cluster cache for various processor-cache configurations. Our results show that for parallel applications, clustering via shared caches provides an effective mechanism for increasing the total number of processors in a system, without increasing the number of invalidations. Combining these results with cost estimates...
In 1993, sizes of on-chip caches on current commercial microprocessors range from 16 Kbytes to 36 Kb...
This paper evaluates network caching as a means to improve the performance of cluster-based multipro...
As the number of on-chip cores and memory demands of applications increase, judicious management of ...
In the near future, semiconductor technology will allow the integration of multiple processors on a ...
Clustering processors together at a level of the memory hierarchy in shared address space multiproce...
Power constraints led to the end of exponential growth in single–processor performance, which charac...
A shared-L1 cache architecture is proposed for tightly coupled processor clusters. Sharing an L1 tig...
A widely adopted design paradigm for many-core accelerators features processing elements grouped in ...
As the performance gap between processors and main memory continues to widen, increasingly aggressiv...
This paper investigates the performance of shared-memory cluster-based architectures where each clus...
Our thesis is that operating systems should manage the on-chip shared caches of multicore processors...
L1 instruction caches in many-core systems represent a siz-able fraction of the total power consumpt...
Several Chip-Multiprocessor designs today leverage tightly-coupled computing clusters as a building ...
The design of the memory hierarchy in a multi-core architecture is a critical component since it mus...
This paper evaluates the benefit of adding a shared cache to the network interface as a means of imp...
In 1993, sizes of on-chip caches on current commercial microprocessors range from 16 Kbytes to 36 Kb...
This paper evaluates network caching as a means to improve the performance of cluster-based multipro...
As the number of on-chip cores and memory demands of applications increase, judicious management of ...
In the near future, semiconductor technology will allow the integration of multiple processors on a ...
Clustering processors together at a level of the memory hierarchy in shared address space multiproce...
Power constraints led to the end of exponential growth in single–processor performance, which charac...
A shared-L1 cache architecture is proposed for tightly coupled processor clusters. Sharing an L1 tig...
A widely adopted design paradigm for many-core accelerators features processing elements grouped in ...
As the performance gap between processors and main memory continues to widen, increasingly aggressiv...
This paper investigates the performance of shared-memory cluster-based architectures where each clus...
Our thesis is that operating systems should manage the on-chip shared caches of multicore processors...
L1 instruction caches in many-core systems represent a siz-able fraction of the total power consumpt...
Several Chip-Multiprocessor designs today leverage tightly-coupled computing clusters as a building ...
The design of the memory hierarchy in a multi-core architecture is a critical component since it mus...
This paper evaluates the benefit of adding a shared cache to the network interface as a means of imp...
In 1993, sizes of on-chip caches on current commercial microprocessors range from 16 Kbytes to 36 Kb...
This paper evaluates network caching as a means to improve the performance of cluster-based multipro...
As the number of on-chip cores and memory demands of applications increase, judicious management of ...