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Workload optimized systems consisting of large number of general and special purpose cores, and with a support for shared memory programming, are slowly becoming prevalent. One of the major impediments for effective parallel programming on these systems ...

The LRU replacement policy is commonly used in the lastlevel caches of multiprocessors. However, LRU policy does not work well for memory intensive workloads which working set are greater than the available cache size. When a new arrival cache block is ...

Scaling DRAM will be increasingly difficult due to power and cost constraint. Phase Change Memory (PCM) is an emerging memory technology that can increase main memory capacity in a cost-effective and power-efficient manner. However, PCM incurs ...

MapReduce has been shown to be a simple and efficient way to harness the massive resources of clusters. Recently, researchers propose using partitioned global address space (PGAS) based language and runtime to ease the programming of large-scale ...

The MapReduce parallel computational model is of increasing importance. A number of High Level Query Languages (HLQLs) have been constructed on top of the Hadoop MapReduce realization, primarily Pig, Hive, and JAQL. This paper makes a systematic ...

Previous research has demonstrated that scratchpad memory(SPM) consumes far less power and on-chip area than the traditional cache. As a software managed memory, SPM has been widely adopted in today's mainstream embedded processors. Traditional SPM ...

We present a multi-threaded parallel algorithm that computes the ask and bid prices of American options with the asset transaction costs being taken into consideration. The parallel algorithm is based on the recombining binomial tree model, and is ...

With explosive growth of multimedia data on internet, the effective information retrieval from a large scale of multimedia data becomes more and more important. To retrieve these multimedia data automatically, some features in them must be extracted. ...

This paper considers the problem of modality conflicts in security policies for Service-Oriented Architecture (SOA) environments. We describe the importance of this problem and present an algorithm for discovering modality conflicts with low overhead. ...

This paper explores the capability of FPGA solutions to accelerate scientific applications with variable-precision floating-point (VP) arithmetic. First, we present a special-purpose Very Large Instruction Word (VLIW) architecture for VP arithmetic (VV-...

While graphics processing units (GPUs) show high performance for problems with regular structures, they do not perform well for irregular tasks due to the mismatches between irregular problem structures and SIMD-like GPU architectures. In this paper, we ...

We present a tool which gives detailed feedback to application developers on how their programs can be made amenable to parallelization. Also, the tool automatically parallelizes the code for a large number of constructs. Since the tool outputs a ...

Dynamic instrumentation systems offer a valuable solution for program profiling and analysis, architectural simulation, and bug detection. However, the performance of target programs suffers great losses when they are instrumented by these systems. This ...