Linear algebra operators for GPU implementation of numerical algorithms
ACM SIGGRAPH 2003 Papers
Efficient randomized pattern-matching algorithms
IBM Journal of Research and Development - Mathematics and computing
Algorithm-Based Fault Tolerance for Matrix Operations
IEEE Transactions on Computers
High-speed convolution and correlation
AFIPS '66 (Spring) Proceedings of the April 26-28, 1966, Spring joint computer conference
Programming Massively Parallel Processors: A Hands-on Approach
Programming Massively Parallel Processors: A Hands-on Approach
Neutron radiation test of graphic processing units
IOLTS '12 Proceedings of the 2012 IEEE 18th International On-Line Testing Symposium (IOLTS 2012)
Hi-index | 0.00 |
In this paper, we compare the radiation response of GPUs executing matrix multiplication and FFT algorithms. The provided experimental results demonstrate that for both algorithms, in the majority of cases, the output is affected by multiple errors. The architectural and code analysis highlight that multiple errors are caused by shared resources corruption or thread dependencies. The experimental data and analytical studies can be fruitfully employed to evaluate the expected error rate of GPUs in realistic applications and to design specific and optimized software-based hardening procedures.