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From iis-projects
- [[Category:GPU]]4 KB (531 words) - 18:00, 19 June 2019
- ...p a scattering network-based classifier for scene labeling and to realize a GPU implementation thereof (followed by VLSI/FPGA, if time permits).4 KB (563 words) - 11:29, 5 February 2016
- ...al Neural Networks (ANN) have revolutionized many applications, enabled by GPU acceleration of machine learning algorithms. To bring machine learning to e4 KB (585 words) - 14:05, 15 February 2024
- .... For this reason, CNN are nowadays decently served by specialized CPU and GPU architectures, reaching very high energy efficiency per inference, and bein4 KB (644 words) - 19:10, 29 January 2021
- ...A Study of Hardware Performance Counters Selection for Cross Architectural GPU Power Modeling]</div>5 KB (688 words) - 13:51, 27 October 2022
- .... For this reason, CNN are nowadays decently served by specialized CPU and GPU architectures, reaching very high energy efficiency per inference, and bein4 KB (651 words) - 19:10, 29 January 2021
- ...stream that needs to be accessed and monitored calls for a high-speed FPGA/GPU based system with a compact, and incubator-compatible hardware design.6 KB (720 words) - 16:27, 27 September 2023
- ...tion. The parallel representation empowers training parallelism to utilize GPU devices fully, whereas the recurrent representation enables efficient O(1)5 KB (735 words) - 14:31, 18 February 2024
- ...from low power accelerometers you will conduct some first experiments with GPU accelerated code to come up with a set of discriminative features and desig5 KB (759 words) - 09:18, 16 September 2021
- ...ocessors that are computationally capable to perform such tasks. NVIDIA of GPU fame has recently released their take on such an accelerator, called the NV6 KB (799 words) - 13:42, 10 November 2020
- ...tion. The parallel representation empowers training parallelism to utilize GPU devices fully, whereas the recurrent representation enables efficient O(1)6 KB (844 words) - 14:28, 18 February 2024
- ...lf components and custom boards to efficiently combine the best of CPU and GPU under power and s restrictions.6 KB (895 words) - 16:27, 30 October 2020
- ...an packed single-instruction multiple-data extensions (e.g. Intel AVX) and GPU-like single-instruction multiple-thread approaches to parallelism.6 KB (916 words) - 15:50, 7 December 2018
- *Knowledge of GPU programming would be an asset.6 KB (828 words) - 16:26, 20 February 2018
- *Knowledge of OpenMP or GPU programming would be an asset.6 KB (823 words) - 08:36, 20 January 2021
- * Compare your results to a GPU or server-class CPU implementation [11]7 KB (944 words) - 10:47, 25 January 2024
- ...onal power on a [https://arstechnica.com/gadgets/2017/05/nvidia-tesla-v100-gpu-details/ massive 800 mm² die].]]7 KB (917 words) - 17:04, 24 November 2023
- ...found in Occamy [4], aim to rival the energy-efficiency and performance of GPU accelerators. Therefore preserving the energy-efficiency of the core is key7 KB (1,153 words) - 18:58, 21 April 2024
- ...terests of the student(s) -- just come talk to us! If you don't know about GPU programming or CNNs or ... just let us know and we can together determine w18 KB (2,473 words) - 19:29, 19 February 2024