One of the most prominent performance issues on NUMA systems is the access latency to remote memories, which can be several orders of magnitude higher than the one of local memory accesses. Effective data allocation that limits the necessity to access remote memories therefore has the potential to significantly improve the performance of applications. This paper presents a tool that simulates t...

On a distributed shared memory machine, the problem of minimizing accesses to remote memory modules is crucial for obtaining high performance. We describe an object-based, parallel programming system called OSMIUM to support experiments with mechanisms for performing invocations on remote objects. The mechanisms we have studied include: non-cached access to remote memory, data migration, and fu...

The balance between CPU speed and interconnection network throughput in distributed memory parallel computers varies with each generation of systems, but the trend is that CPUs are gaining performance faster than the interconnection networks. This means that remote data accesses are becoming more expensive relative to local accesses in terms of CPU cycles. Therefore, remote memory access mechan...

Partitioned Global Address Space (PGAS) languages are a popular alternative when building applications to run on large scale parallel machines. Unified Parallel C (UPC) is a well known PGAS language that is available on most high performance computing systems. Good performance of UPC applications is often one important requirement for a system acquisition. This paper presents the memory managem...

Software distributed shared memory (DSM) systems have successfully provided the illusion of shared memory on distributed memory machines. However, most software DSM systems use the main memory of each machine as a level in a cache hierarchy, replicating copies of shared data in local memory. Since computer memories tend to be much larger than caches, DSM systems have largely ignored memory capa...

Emerging system-area networks provide a variety of features that can dramatically reduce network communication overhead. Such features include reduced latency, protected remote memory access, cheap broadcast, and ordering guarantees. In this paper, we evaluate the impact of these features on the implementation of Software Distributed Shared Memory (SDSM), and on the Cashmere system in particula...

(Lesburgueres et al., 2011). Neuronal networks in these regions are, in fact, selectively remodeled at remote time-points (Restivo et al., 2009). Moreover, the persistence of these lately occurring structural changes is necessary for the persistence of memory (Vetere et al., 2011a). Surprisingly, in contrast with the intuitive idea that the neocortex might exclusively be dedicated to the storag...

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 i...

Traditional operating systems use magnetic disks as paging devices, even though the cost of a disk transfer measured in processor cycles continues to increase. In this paper we explore the use of remote main memory for paging. We describe the design , implementation and evaluation of a pager that uses main memory of remote workstations as a faster-than-disk paging device and provides reliabilit...

As software Distributed Shared Memory(DSM) systems become attractive on larger clusters, the focus of attention moves toward improving the reliability of systems. In this paper, we propose a lightweight logging scheme, called remote logging, and a recovery protocol for home-based DSM. Remote logging stores coherence-related data to the volatile memory of a remote node. The logging overhead can ...