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Multi-core and many-core were already major trends for the past six years, and are expected to continue for the next decades. With this trend of parallel computing, it becomes increasingly difficult… Continue Reading
Graphics processing units (GPUs) are becoming increasingly popular for compute workloads, mainly because of their large number of processing elements and high-bandwidth to off-chip memory. The… Continue Reading
The shift towards parallel processor architectures has made programming, performance prediction and code generation increasingly challenging. Abstract representations of program code (i.e.… Continue Reading
With GPU architectures becoming increasingly important due to their large number of parallel processors, NVIDIA’s CUDA environment is becoming widely used to support general purpose applications. To… Continue Reading
Ambiguities in images or unsystematic annotation can lead to multiple valid solutions in semantic segmentation. To learn a distribution over predictions, recent work has explored the use of… Continue Reading
Recent advances in multi-core and many-core processors requires programmers to exploit an increasing amount of parallelism from their applications. Data parallel languages such as CUDA and OpenCL… Continue Reading