Solving convex optimization problems on FPGA using OpenCL

The application of accelerators in HPC applications has seen enormous growth in the last decade. In the field of HPC demands on throughput are steadily growing. <br/>Not all of the algorithms used have a clear HW architecture which performs the best. Our work explores the performance of different HW architectures in solving a convex optimization...

High Performance Histograms on SIMT and SIMD Architectures

Using the histogram procedure, this work studies performance determining factors in computing in parallel on SIMD and SIMT devices. Modern graphics pro-cessing units (GPUs) support SIMT, multiple threads running the same instruction, whereas central processing units (CPUs) use SIMD, in which one instruction op-erates on multiple operands. As...

Speeding Up Reinforcement Learning with Graphics Processing Units

Conventionally programmed systems (e.g. robots) are not able to adapt to unforeseen changes in their task or environment. Reinforcement learning (RL), a machine learning approach, could grant this flexibility. Many fields of work could greatly benefit from this, be it in terms of cost, time or some other parameter. With RL, a learning agent...

Accelerating Graph Analysis with Heterogeneous Systems

Data analysis is a rising field of interest for computer science research due to the growing amount of information that is digitally available. This increase in data has as direct consequence that any analysis is significantly complex. By using structured representations for the data sets, like graphs, the analysis becomes feasible, but is still...

Programmability Analysis of Image Processing Kernels on Multi-/Many-core Platforms

In the last few years, the computing industry has changed its course from ever higher clock speeds to multi- and many-core systems. These new parallel systems su?er a “programmability gap”: there is a large gap between the performance a platform is theoretically capable of, and what the programmer is able to achieve. Early programming models...