WebComputers have become increasingly complex with the emergence of heterogeneous hardware combining multicore CPUs and GPUs. These parallel systems exhibit tremendous computational power at the cost of increased programming effort resulting in a tension between performance and code portability. Typically, code is either tuned in a low-level … WebAU - Dubach, Christophe. AU - Jones, Timothy M. AU - O'Boyle, Michael F.P. PY - 2008/10. Y1 - 2008/10. N2 - Embedded processor performance is dependent on both the underlying architecture and the compiler optimisations applied. However, designing both simultaneously is extremely difficult to achieve due to the time constraints designers must ...

Exploring and Predicting the Architecture/Optimising Compiler Co …

WebChristophe Dubach, Timothy M. Jones, and Michael F.P. O’Boyle Abstract—The microarchitectural design space of a new processor is too large for an architect to evaluate in its entirety. Even with the use of statistical simulation, evaluation of a single configuration can take an excessive amount of time due to the need to run a set of WebCHRISTOPHE DUBACH, University of Edinburgh Graphics Processing Units (GPUs) and other parallel devices are widely available and have the potential for accelerating a wide class of algorithms. However, expert programming skills are required to achieving maximum performance. These devices expose low-level hardware details through imperative ... location tente 4 places

Automatic generation of specialized direct convolutions for mobile …

WebChristopher also goes by the name Chris L Dubach, Christoph L Dubach, Christopher Dubach, Christopher L Dubach, Chris L Dubsch, Christoph Dubach, Christophe … WebAU - Dubach, Christophe. AU - Jones, Timothy M. AU - O'Boyle, Michael F.P. PY - 2008/10. Y1 - 2008/10. N2 - Embedded processor performance is dependent on both the … WebEuroMLSys’21, April 26, 2024, Online, United Kingdom Rik Mulder, Valentin Radu, and Christophe Dubach Conv1 A B C 1 1 data transformation Conv2 A B C 2 2 data transformation Conv3 A B C 3 Figure 1. Primitive selection in a three-layer convolutional neural network, choosing from three available primitive im- indian restaurant bath street ilkeston