Construction of explicit and implicit symmetric tvd schemes and their applications
Journal of Computational Physics
A simplified TVD finite difference sheme via artificial viscousity
SIAM Journal on Scientific and Statistical Computing - Papers from the Second Conference on Parallel Processing for Scientific Computin
Pracniques: further remarks on reducing truncation errors
Communications of the ACM
The Journal of Supercomputing
Comparing Hardware Accelerators in Scientific Applications: A Case Study
IEEE Transactions on Parallel and Distributed Systems
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We present methods that can dramatically improve numerical consistency for parallel calculations across varying numbers of processors. By calculating global sums with enhanced precision techniques based on Kahan or Knuth summations, the consistency of the numerical results can be greatly improved with minimal memory and computational cost. This study assesses the value of the enhanced numerical consistency in the context of general finite difference or finite volume calculations.