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Dive into the research topics where David Williams is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Improving utility of GPU in accelerating industrial applications with user-centered automatic code translation
Yang, P., Dong, F., Codreanu, V., Williams, D., Roerdink, J. B. T. M., Liu, B., Anvari-Moghaddam, A. & Min, G., 24 Jul 2017, In: IEEE Transactions on Industrial Informatics. 14, 4, p. 1347-1360Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Citations (Scopus)5 Downloads (Pure) -
GSWO: A programming model for GPU-enabled parallelization of sliding window operations in image processing
Yang, P., Clapworthy, G., Dong, F., Codreanu, V., Williams, D., Liu, B., Roerdink, J. B. T. M. & Deng, Z., 2 Jul 2016, In: Signal Processing: Image Communication. 47, p. 332-345Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Citations (Scopus)4 Downloads (Pure) -
Evaluating automatically parallelized versions of the support vector machine
Codreanu, V., Dröge, B., Williams, D., Yasar, B., Yang, P., Liu, B., Dong, F., Surinta, O., Schomaker, L. R. B., Roerdink, J. B. T. M. & Wiering, M. A., 9 Oct 2014, In: Concurrency and Computation: Practice and Experience. 28, 7, p. 2274-2294Research output: Contribution to journal › Article › peer-review
11 Citations (Scopus) -
Evaluation of autoparallelization toolkits for commodity GPUs
Williams, D., Codreanu, V., Yang, P., Liu, B., Dong, F., Yasar, B., Mahdian, B., Chiarini, A., Zhao, X. & Roerdink, J. B. T. M., 31 Dec 2014, Parallel Processing and Applied Mathematics: 10th International Conference, PPAM 2013, Warsaw, Poland, September 8-11, 2013, Revised Selected Papers, Part I. Springer, p. 447-457Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
3 Citations (Scopus)