Effective parallel programming for GPUs requires careful attention to several factors,
including ensuring coalesced access of data from global memory. There is a need for tools …

The performance of modern processors is often limited by execution stalls resulting from
long memory access latencies. Compile-time optimizations, deep cache hierarchies and …

Abstract Graphics Processing Units (GPUs) have become widespread and popular over the
past decade. Fully utilizing the parallel compute and memory resources that GPUs present …

GPU programming has become popular due to the high computational capabilities of GPUs.
Obtaining significant performance gains with GPU is however challenging and the …

GPUs have become popular due to their high computational power. Data scientists rely on
GPUs to process loads of data being generated by their systems. From a humble beginning …

Data caches are often unable to efficiently cope with the massive and simultaneous requests
imposed by the SIMT execution model of modern GPUs. While software-aided cache …

Emerging computer architectures will feature drastically decreased flops/byte (ratio of peak
processing rate to memory bandwidth), as highlighted by recent studies on Exascale …

Hardware and Software Optimizations for GPU Resource Management Page 1 Hardware and
Software Optimizations for GPU Resource Management A Thesis Submitted in Partial …