73 citations · 102 across the 4 of their papers we have counts for
6 papers
Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data
Thorsten Kurth, Jian Zhang, Nadathur Satish +12
This paper presents the first, 15-PetaFLOP Deep Learning system for solving scientific pattern classification problems on contemporary HPC architectures. We develop supervised conv…
Optimization of an electromagnetics code with multicore wavefront diamond blocking and multi-dimensional intra-tile parallelization
Tareq M. Malas, Julian Hornich, Georg Hager +3
Understanding and optimizing the properties of solar cells is becoming a key issue in the search for alternatives to nuclear and fossil energy sources. A theoretical analysis via n…
Multi-dimensional intra-tile parallelization for memory-starved stencil computations
Tareq Malas, Georg Hager, Hatem Ltaief +1
Optimizing the performance of stencil algorithms has been the subject of intense research over the last two decades. Since many stencil schemes have low arithmetic intensity, most…
Towards energy efficiency and maximum computational intensity for stencil algorithms using wavefront diamond temporal blocking
Tareq Malas, Georg Hager, Hatem Ltaief +1
We study the impact of tunable parameters on computational intensity (i.e., inverse code balance) and energy consumption of multicore-optimized wavefront diamond temporal blocking…
Multicore-optimized wavefront diamond blocking for optimizing stencil updates
Tareq Malas, Georg Hager, Hatem Ltaief +3
The importance of stencil-based algorithms in computational science has focused attention on optimized parallel implementations for multilevel cache-based processors. Temporal bloc…
Optimizing the Performance of Streaming Numerical Kernels on the IBM Blue Gene/P PowerPC 450 Processor
Tareq M. Malas, Aron J. Ahmadia, Jed Brown +2
Several emerging petascale architectures use energy-efficient processors with vectorized computational units and in-order thread processing. On these architectures the sustained pe…