SWIFT: Software Implemented Fault Tolerance
Proceedings of the international symposium on Code generation and optimization
Algorithm-Based Fault Tolerance for Matrix Operations
IEEE Transactions on Computers
DRAM errors in the wild: a large-scale field study
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
Error-correcting codes for semiconductor memory applications: a state-of-the-art review
IBM Journal of Research and Development
libhashckpt: hash-based incremental checkpointing using GPU's
EuroMPI'11 Proceedings of the 18th European MPI Users' Group conference on Recent advances in the message passing interface
kMemvisor: flexible system wide memory mirroring in virtual environments
Proceedings of the 22nd international symposium on High-performance parallel and distributed computing
| Hi-index | 0.00 |
Proposed exascale systems will present a number of considerable resiliency challenges. In particular, DRAM soft-errors, or bit-flips, are expected to greatly increase due to the increased memory density of these systems. Current hardware-based fault-tolerance methods will be unsuitable for addressing the expected soft error frequency rate. As a result, additional software will be needed to address this challenge. In this paper we introduce LIBSDC, a tunable, transparent silent data corruption detection and correction library for HPC applications. LIBSDC provides comprehensive SDC protection for program memory by implementing on-demand page integrity verification. Experimental benchmarks with Mantevo HPCCG show that once tuned, LIBSDC is able to achieve SDC protection with 50% overhead of resources, less than the 100% needed for double modular redundancy.