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54 bytes (6 words) - 18:42, 3 September 2019
- Your task in this work is to implement an algorithm on the GPU that processes in a offline setup real captured ultrasound data as fast as : First experiences with GPU Programming (CUDA) are beneficial but not required3 KB (428 words) - 12:13, 1 August 2018
- ...GPU compiler, as well as mechanisms for enforcing memory operations on the GPU side. The current PREM-enabling GPU compiler is based upon the use of the GPU scratchpad memory (CUDA shared memory), as this memory is software managed5 KB (706 words) - 17:41, 19 June 2019
- To overcome this limitation, GPU-based processing architectures are a viable alternative. ...he raw data from the ultrasound frontend (connected over PCIe) into to the GPU is not trivial:2 KB (340 words) - 16:58, 16 September 2022
- [[File:IIP_Beamspace_GPU.png|500px|thumb|Beamspace processing on GPU]] ...orms for baseband processing. Additionally, there is growing interest from GPU vendors to invest in the wireless communication industry. Hence, it is the4 KB (620 words) - 00:16, 11 January 2022
Page text matches
- ...onal power on a [https://arstechnica.com/gadgets/2017/05/nvidia-tesla-v100-gpu-details/ massive 800 mm² die].]]2 KB (275 words) - 17:05, 24 November 2023
- Your task in this work is to implement an algorithm on the GPU that processes in a offline setup real captured ultrasound data as fast as : First experiences with GPU Programming (CUDA) are beneficial but not required3 KB (428 words) - 12:13, 1 August 2018
- ...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
- : Ideally some knowledge of GPU programming2 KB (285 words) - 18:16, 29 August 2016
- *Knowledge of GPU programming would be an asset.6 KB (828 words) - 16:26, 20 February 2018
- : Ideally some knowledge of GPU programming (optional)3 KB (362 words) - 16:25, 30 October 2020
- ...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
- *Knowledge of OpenMP or GPU programming would be an asset.6 KB (823 words) - 08:36, 20 January 2021
- ...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
- GPU Adreno 530 has been released as part of the Snapdragon 820 mobile flagship processor. ARM’s fully cache-coherent GPU called Mimir will probably be6 KB (865 words) - 12:16, 17 November 2017
- : General-purpose GPU (GPGPU)3 KB (409 words) - 13:58, 9 November 2017
- ...there is a trend towards the integration of accelerators such as FPGA and GPU on the same chip as the host CPU, sharing a single DRAM. This has benefits2 KB (286 words) - 18:48, 10 November 2020
- ...GPU compiler, as well as mechanisms for enforcing memory operations on the GPU side. The current PREM-enabling GPU compiler is based upon the use of the GPU scratchpad memory (CUDA shared memory), as this memory is software managed5 KB (706 words) - 17:41, 19 June 2019
- ...GPU compiler, as well as mechanisms for enforcing memory operations on the GPU side. ...project is to design and integrate a full system configuration of CPU and GPU applications that can be executed concurrently on a heterogeneous platform,4 KB (499 words) - 17:40, 19 June 2019
- To overcome this limitation, GPU-based processing architectures are a viable alternative. ...he raw data from the ultrasound frontend (connected over PCIe) into to the GPU is not trivial:2 KB (340 words) - 16:58, 16 September 2022
- ...rate (>10Gbit/s) and transfer the raw data over a fiber optical link to a GPU equipped PC for processing.3 KB (391 words) - 20:49, 12 November 2020
- * Implementation of Processing (GPU, CUDA)2 KB (250 words) - 20:48, 12 November 2020
- ...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
- ...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
- [[Category:GPU]]4 KB (531 words) - 18:00, 19 June 2019
- [[Category:GPU]]3 KB (466 words) - 18:20, 19 June 2019
- [[Category:GPU]]2 KB (300 words) - 18:27, 19 June 2019
- ...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
- .... 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
- .... 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
- ...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
- ...onal power on a [https://arstechnica.com/gadgets/2017/05/nvidia-tesla-v100-gpu-details/ massive 800 mm² die].]]3 KB (339 words) - 15:59, 1 November 2023
- [[File:IIP_Beamspace_GPU.png|500px|thumb|Beamspace processing on GPU]] ...orms for baseband processing. Additionally, there is growing interest from GPU vendors to invest in the wireless communication industry. Hence, it is the4 KB (620 words) - 00:16, 11 January 2022
- ...ion cameras. The student will use a cutting-edge high-performance embedded GPU to acquire data from these devices and run sensor-fusion based algorithms t2 KB (349 words) - 15:53, 11 October 2021
- ...A Study of Hardware Performance Counters Selection for Cross Architectural GPU Power Modeling]</div>5 KB (688 words) - 13:51, 27 October 2022
- ...ion and machine learning framework will be applied to implement performant GPU-based simulations.4 KB (503 words) - 13:54, 30 May 2022
- ...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
- * Compare your results to a GPU or server-class CPU implementation [11]7 KB (944 words) - 10:47, 25 January 2024
- ...e, MKL or OpenBLAS for CPU architectures and cuBLAS or cuSPARSE for NVIDIA GPU microarchitectures. Unfortunately, these libraries optimize common-use case3 KB (446 words) - 15:56, 1 May 2023
- ...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)6 KB (844 words) - 14:28, 18 February 2024
- ...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
- ...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
- ...uster. The motherboard contains two PCIe slots to hold computing cards, as GPU, network cards, or specific accelerators. Finally, SG2042 comes with an ope3 KB (459 words) - 13:24, 12 April 2024