hgpu.org » vulnerable
X. J. A. Bellekens, G. Paul, J. M. Irvine, C. Tachtatzis, R. C. Atkinson, C. Renfrew, T. Kirkham
Tags: Computer science, data leak, Data recovery, forensic, GPU, Memory, remanence, vulnerable
May 28, 2016 by xhgpu
Recent source codes
* * *
Most viewed papers (last 30 days)
- SYCL-Bench 2020: Benchmarking SYCL 2020 on AMD, Intel, and NVIDIA GPUs
- Green AI: A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures
- Benchmarking and Dissecting the Nvidia Hopper GPU Architecture
- Parallel programming in mobile devices with FancyJCL
- Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural Networks
- Using AI libraries for Incompressible Computational Fluid Dynamics
- FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators
- Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale
- Low-Overhead Trace Collection and Profiling on GPU Compute Kernels
- APPy: Annotated Parallelism for Python on GPUs
* * *