4,494 research outputs found
Exploring emerging technologies for extreme scale HPC architectures
Get PDFWhile architectures and programming models have remained relatively stable for almost two decades, new architectural features, such as heterogeneous processing, nonvolatile memory, and optical interconnection networks, will demand that software systems and applications be redesigned so that they expose massive amounts of hierarchical parallelism, carefully orchestrate data movement, and balance concerns over performance, power, and resiliency. This instability has led to two inevitable problems: decreased programmer productivity, and difficult performance prediction. In this talk, I will describe two solutions to these problems, respectively: our OpenARC compiler and runtime system, and our Aspen performance modeling language. First, OpenARC is a research compiler that supports OpenACC and OpenMP4, and can generate code in CUDA, OpenCL, and LLVM IR. OpenARC has enabled us to explore how to enable performance portability of applications across diverse architectures. Second, Aspen is a domain specific language for structured analytical modeling of applications and architectures. It is designed to enable rapid exploration of new algorithm and architectures. Once created, Aspen models can then be used for a variety of purposes including predicting performance of future applications, evaluating system architectures, informing runtime scheduling decisions, and identifying system anomalies
Detection of t(7;12)(q36;p13) in paediatric leukaemia using dual colour fluorescence in situ hybridisation
Get PDFThe identification of chromosomal rearrangements is of utmost importance for the diagnosis and classification of specific leukaemia subtypes and therefore has an impact on therapy choices in individual cases. The t(7;12)(q36;p13) is a cryptic rearrangement that is difficult to recognise using conventional cytogenetic methods and is often undetected by reverse transcription polymerase chain reaction due to the absence of a fusion transcript in many cases. Here we present a reliable and easy to use dual colour fluorescence in situ hybridisation assay for the detection of the t(7;12)(q36;p13) rearrangement. A comparison with previous similar work is given and advantages and limitations of this novel approach are discussed
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