61 citations · 116 across the 14 of their papers we have counts for
3 papers · 1 filter
Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: programming productivity, performance, and energy consumption
Suejb Memeti, Lu Li, Sabri Pllana +2
Many modern parallel computing systems are heterogeneous at their node level. Such nodes may comprise general purpose CPUs and accelerators (such as, GPU, or Intel Xeon Phi) that p…
Using Cognitive Computing for Learning Parallel Programming: An IBM Watson Solution
Adrian Calvo Chozas, Suejb Memeti, Sabri Pllana
While modern parallel computing systems provide high performance resources, utilizing them to the highest extent requires advanced programming expertise. Programming for parallel c…
CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi
Andre Viebke, Suejb Memeti, Sabri Pllana +1
Deep learning is an important component of big-data analytic tools and intelligent applications, such as, self-driving cars, computer vision, speech recognition, or precision medic…