Anytime instructions for programmable accuracy floating-point arithmetic
Author:
Affiliation:
1. Friedrich-Alexander University Erlangen-Nürnberg (FAU)
Funder
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3310273.3322833
Reference15 articles.
1. Orthogonal Instruction Processing: An Alternative to Lightweight VLIW Processors
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3. A. Buttari J. Dongarra J. Kurzak P. Luszczek and S. Tomov. Using mixed precision for sparse matrix computations to enhance the performance while achieving 64-bit accuracy. ACM Transactions on Mathematical Software (TOMS) 34(4):17:1--17:22 July 2008. 10.1145/1377596.1377597 A. Buttari J. Dongarra J. Kurzak P. Luszczek and S. Tomov. Using mixed precision for sparse matrix computations to enhance the performance while achieving 64-bit accuracy. ACM Transactions on Mathematical Software (TOMS) 34(4):17:1--17:22 July 2008. 10.1145/1377596.1377597
4. Rigorous floating-point mixed-precision tuning
5. Efficient Arithmetic Error Rate Calculus for Visibility Reduced Approximate Adders
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