Performant execution of data-parallel jobs needs good execution plans. Certain properties of the code, the data, and the interaction between them are crucial to generate these plans. Yet, these properties are dif�cult to estimate due to the highly distributed nature of these frameworks, the freedom that allows users to specify arbitrary code as operations on the data, and since jobs in modern c...

R esearchers widely use speedup, efficiency, and scalability1–3 to assess parallel-computing performance. These metrics encourage researchers to use any novel technique to design or improve a parallel system, without paying enough attention to the cost increase that such a technique incurs. However, as national-defense applications are downsizing, commercial applications are the dominant users ...

In this paper the performance of four well-known metaheuristics consisting of Artificial Bee Colony (ABC), Biogeographic Based Optimization (BBO), Harmony Search (HS) and Teaching Learning Based Optimization (TLBO) are investigated on optimal domain decomposition for parallel computing. A clique graph is used for transforming the connectivity of a finite element model (FEM) into that of the cor...

one of the main features of high throughput computing systems is the availability of high power processing resources. cloud computing systems can offer these features through concepts like pay-per-use and quality of service (qos) over the internet. many applications in cloud computing are represented by workflows. quality of service is one of the most important challenges in the context of sche...

One of the main features of High Throughput Computing systems is the availability of high power processing resources. Cloud Computing systems can offer these features through concepts like Pay-Per-Use and Quality of Service (QoS) over the Internet. Many applications in Cloud computing are represented by workflows. Quality of Service is one of the most important challenges in the context of sche...

The success of the gaming industry is now pushing processor technology like we have never seen before. Since recent graphics processors (GPU’s) have been improving both their programmability as well as have been adding more and more floating point processing, it makes them very appealing as accelerators for generalpurpose computing. This minisymposium gives an overview of some of these advancem...

State-of-the-art dense linear algebra software, such as the LAPACK and ScaLAPACK libraries, suffer performance losses on multicore processors due to their inability to fully exploit thread-level parallelism. At the same time the coarse-grain dataflow model gains popularity as a paradigm for programming multicore architectures. This work looks at implementing classic dense linear algebra workloa...

One of the key contributors to the explosion of the information and Internet age is the ability to parallelize computation. The theoretical limits of computation with a single machine are long superseded by massively scalable parallel computers. This paper discusses about the multiple different levels where parallelism can be achieved. Two of the most game-changing technologies are discussed he...