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Create the page "GPU" on this wiki! See also the search results found.

Page title matches

• GPU-Accelerated Nanoelectronic Device Simulations
  54 bytes (6 words) - 18:42, 3 September 2019
• Ultrafast Medical Ultrasound imaging on a GPU
  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 required
  3 KB (428 words) - 12:13, 1 August 2018
• Predictable Execution on GPU Caches
  ...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 managed
  5 KB (706 words) - 17:41, 19 June 2019
• LightProbe - 200G Remote DMA for GPU FPGA Data Transfers
  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
• Beamspace processing for 5G mmWave massive MIMO on GPU
  [[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 the
  4 KB (620 words) - 00:16, 11 January 2022

Page text matches

• Acceleration and Transprecision
  ...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
• Ultrafast Medical Ultrasound imaging on a GPU
  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 required
  3 KB (428 words) - 12:13, 1 August 2018
• Scattering Networks for Scene Labeling
  ...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
• Learning Image Decompression with Convolutional Networks
  : Ideally some knowledge of GPU programming
  2 KB (285 words) - 18:16, 29 August 2016
• Self-Learning Drones based on Neural Networks
  *Knowledge of GPU programming would be an asset.
  6 KB (828 words) - 16:26, 20 February 2018
• Learning Image Compression with Convolutional Networks
  : Ideally some knowledge of GPU programming (optional)
  3 KB (362 words) - 16:25, 30 October 2020
• Deep Learning Projects
  ...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 w
  18 KB (2,473 words) - 19:29, 19 February 2024
• Convolution Neural Networks on our Ultra-Low Power Mult-Core Plattform PULP
  *Knowledge of OpenMP or GPU programming would be an asset.
  6 KB (823 words) - 08:36, 20 January 2021
• Low-Energy Cluster-Coupled Vector Coprocessor for Special-Purpose PULP Acceleration
  ...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
• Smart Virtual Memory Sharing
  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 be
  6 KB (865 words) - 12:16, 17 November 2017
• Hyper Meccano: Acceleration of Hyperdimensional Computing
  : General-purpose GPU (GPGPU)
  3 KB (409 words) - 13:58, 9 November 2017
• Predictable Execution
  ...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 benefits
  2 KB (286 words) - 18:48, 10 November 2020
• Predictable Execution on GPU Caches
  ...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 managed
  5 KB (706 words) - 17:41, 19 June 2019
• Freedom from Interference in Heterogeneous COTS SoCs
  ...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
• LightProbe - 200G Remote DMA for GPU FPGA Data Transfers
  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
• Ultrasound High Speed Microbubble Tracking
  ...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
• Next-Gen Ultrasound Imaging Systems (Industry Student Projects & PhD Opportunity)
  * Implementation of Processing (GPU, CUDA)
  2 KB (250 words) - 20:48, 12 November 2020
• AMZ Driverless Competition Embedded Systems Projects
  ...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
• NVDLA meets PULP
  ...ocessors that are computationally capable to perform such tasks. NVIDIA of GPU fame has recently released their take on such an accelerator, called the NV
  6 KB (799 words) - 13:42, 10 November 2020
• PREM Intervals and Loop Tiling
  [[Category:GPU]]
  4 KB (531 words) - 18:00, 19 June 2019

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