In recent years, machine intelligence (MI) applications have emerged as a major driver for
the computing industry. Optimizing these workloads is important, but complicated. As …

Graphics Processing Units (GPUs) are widely used to run general-purpose computing
workloads. Three approaches currently exist to observe the dynamic behaviour of these …

Unified virtual memory greatly simplifies GPU programming, but it introduces huge address
translation overhead. To reduce this overhead, modern GPUs utilize the translation …

Integer sum reduction is a primitive operation commonly used in scientific computing.
Implementing a parallel reduction on a GPU often involves concurrent memory accesses …

The pace of advancement of the top-end supercomputers historically followed an
exponential curve similar to (and driven in part by) Moore's Law. Shortly after hitting the …

Graphics processing units (GPUs) are compute platforms that are ideal for highly parallel
workloads due to their high degree of hardware parallelism. Parallelism offered by GPUs …