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Fast dynamic memory allocator for massively parallel architectures.

, , , and . GPGPU@ASPLOS, page 120-126. ACM, (2013)

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Fast dynamic memory allocator for massively parallel architectures., , , and . GPGPU@ASPLOS, page 120-126. ACM, (2013)Analysis of machine learning techniques for context extraction., , , , , , and . ICDIM, page 233-240. IEEE, (2008)Rapid, detail-preserving image downscaling., , , , and . ACM Trans. Graph., 35 (6): 205 (2016)Detail-Preserving Pooling in Deep Networks., , , and . CVPR, page 9108-9116. IEEE Computer Society, (2018)MATOG: Array Layout Auto-Tuning for CUDA., and . TACO, 14 (3): 28:1-28:26 (2017)BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism., , , and . CoRR, (2018)Machine Learning based Work Task Classification., , , , , , , and . JDIM, 7 (5): 306-313 (2009)Automatic detection of accommodation steps as an indicator of knowledge maturing., , , , , , and . Interacting with Computers, 23 (3): 247-255 (2011)Evaluation of Social Media Collaboration Using Task-Detection Methods., , , , , and . EC-TEL, volume 6964 of Lecture Notes in Computer Science, page 248-259. Springer, (2011)Generating and Visualizing a Soccer Knowledge Base., , , , , , , , , and . EACL, The Association for Computer Linguistics, (2006)