Buffer overflow vulnerabilities in CUDA: a preliminary analysis

Amazon: CUDA on AWS. http://aws.amazon.com/articles/7249489223918169

AMD. http://developer.amd.com/tools-and-sdks/opencl-zone/

Anonymous: Once upon a free(). http://phrack.org/issues/57/9.html

Flux Research Group, University of Utah: KGPU. https://code.google.com/p/kgpu/

Khronos Group: OpenCL. http://www.khronos.org/opencl/

Khronos Group: OpenGL. https://www.opengl.org/

Khronos Group: WebGL. https://www.khronos.org/webgl

NVIDIA: CUDA binary utilities. http://docs.nvidia.com/cuda/cuda-binary-utilities/index.html

NVIDIA: CUDA programming guide. http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html (2014)

NVIDIA: Parallel thread execution ISA. http://docs.nvidia.com/cuda/parallel-thread-execution/ (2014)

One, A.: Smashing the stack for fun and profit. http://phrack.org/issues/49/14.html

Reynaud, D.: GPU powered malware, Ruxcon (2008)

Rix: SMASHING C++ VPTRS. http://phrack.org/issues/56/8.html

Roberto Di Pietro Flavio Lombardi, A.V.: CUDA leaks: information leakage in GPU architectures. arXiv:1305.7383

Roemer, R., Buchanan, E., Shacham, H., Savage, S.: Return-oriented programming: systems, languages, and applications. ACM Trans. Info. Syst. Secur. 15(1), 2:1–2:34 (2012)

Silberstein, M., Ford, B., Keidar, I., Witchel, E.: GPUfs: integrating a file system with GPUs. SIGARCH Comput. Archit. News 41(1), 485–498 (2013). doi: 10.1145/2490301.2451169

Vasiliadis, G., Polychronakis, M., Ioannidis, S.: GPU-assisted malware. In: 2010 5th International Conference on Malicious and Unwanted Software (MALWARE), pp. 1–6 (2010). doi: 10.1109/MALWARE.2010.5665801