Software distributed shared-memory (SDSM) provides the abstraction necessary to run shared-memory applications on cost-effective parallel platforms such as clusters of workstations. However, problems such as cluster component reliability and cluster management, which are not directly related to performance, need to be addressed before SDSM solutions can be widely adopted. This paper presents Ra...

Fault-tolerant techniques that can cope with system failures in software distributed shared memory (SDSM) are essential for creating productive and highly available parallel computing environments on clusters of workstations. In this paper, we propose a new, efficient coordinated checkpointing technique, called coherence-based coordinated checkpointing (CCC), for SDSM. Our CCC minimizes both th...

Long lead rainfall prediction is important in the management and operation of water resources and many models have been developed for this purpose. Each of the developed models has its special strengths and weaknesses that must be considered in real time applications. In this paper, eld and General Circulation Models (GCM) data are used with the Statistical Downscaling Model (SDSM) and the Arti...

A class of interacting superprocesses arising from branching particle systems with continuous spatial motions, called superprocesses with dependent spatial motion (SDSMs), has been introduced and studied in Wang [26] and Dawson et al. [8]. In this paper, we extend the model to allow discontinuous spatial motions. Under Lipschitz condition for coefficients, we show that under a proper rescaling,...

A previous study of random mutations, mostly introduced by error-prone PCR (EPPCR) or DNA shuffling (DS), demonstrated that those closer to the enzyme active site were more effective than distant ones at improving enzyme activity, substrate specificity or enantioselectivity. Since then, many studies have taken advantage of this observation by targeting site-directed saturation mutagenesis (SDSM...

This paper explores the benefits and limitations of using a inspector/executor approach for Software Distributed Shared Memory (SDSM) systems. The role of the inspector is to obtain a description of the address space accessed during the execution of parallel loops. The information collected by the inspector will enable the runtime to optimize the movement of shared data that will happen during ...

As interconnection of local-area network of workstation are widely available, the idea of offering a software distributed shared memory (SDSM) layer across them is quite an attractive alternative for compute-intensive applications. However, the higher cost of sending a message over an inter-cluster link than over an intra-cluster can limit applications’ performance on a multi-cluster SDSM. In t...

In this paper, we present the first system that implements OpenMP on a network of shared-memory multiprocessors. This system enables the programmer to rely on a single, standard, shared-memory API for parallelization within a multiprocessor and between multiprocessors. It is implemented via a translator that converts OpenMP directives to appropriate calls to a modified version of the TreadMarks...

A novel scheme using spatial data stream multiplexing (SDSM) in the upcoming multiple-input multipleoutput (MIMO)-based IEEE 802.11n physical layer is proposed. It is shown that with SDSM, the same data rate can be achieved by using less number of transmit and receive antennas and therefore this scheme can reduce the number of antennas which results in reducing mutual coupling effects, hardware...

The probability of failures in software distributed shared memory (SDSM) increases as the system size grows. This paper introduces a new, efficient message logging technique, called the coherence-centric logging (CCL) and recovery protocol, for home-based SDSM. Our CCL minimizes failure-free overhead by logging only data necessary for correct recovery and tolerates high disk access latency by o...