Jayvant Anantpur

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MATLAB is an array language, initially popular for rapid prototyping, but is now being increasingly used to develop production code for numerical and scientific applications. Typical MATLAB programs have abundant data parallelism. These programs also have control flow dominated scalar regions that have an impact on the program's execution time. Today's(More)
Graphics Processing Units (GPUs) contain multiple SIMD cores and each core can run a large number of threads concurrently. Threads in a core are scheduled and executed infixed sized groups, called warps. Each core contains one or more warp schedulers that select and execute warps from a pool of ready warps. In spite of having a large number of concurrent(More)
GPUs have been used for parallel execution of DOALL loops. However, loops with indirect array references can potentially cause cross iteration dependences which are hard to detect using existing compilation techniques. Applications with such loops cannot easily use the GPU and hence do not benefit from the tremendous compute capabilities of GPUs. In this(More)
Graphics Processing Units (GPUs) consisting of Streaming Multiprocessors (SMs) achieve high throughput by running a large number of threads and context switching among them to hide execution latencies. The number of thread blocks, and hence the number of threads that can be launched on an SM, depends on the resource usage--e.g. number of registers, amount(More)
Graphics Processing Units (GPUs) maintain a large register file to increase thread block occupancy, hence to improve the thread level parallelism (TLP). However, register files in the GPU dissipate a significant portion of the total leakage power. Leakage power of the register file can be reduced by putting the registers into low power (SLEEP or OFF) state.(More)
General-Purpose Graphics Processing Unit (GPGPU) applications exploit on-chip scratchpad memory available in the Graphics Processing Units (GPUs) to improve performance. The amount of thread level parallelism (TLP) present in the GPU is limited by the number of resident threads, which in turn depends on the availability of scratchpad memory in its streaming(More)
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