D. Owens. Efficient synchroniza- tion primitives for GPUs. Computing Research Repository (CoRR), abs/1110.4623, 2011. http://arxiv.org/pdf/ 1110.4623.pdf.Jeff A Stuart and John D Owens. Efficient synchronization primitives for GPUs. arXiv preprint arXiv:1110.4623, 2011....
Searching for similarities in protein and DNA databases has become a routine procedure in Molecular Biology. The Smith-Waterman algorithm has been available for more than 25 years. It is based on a dynamic programming approach that explores all the possi
Designing Efficient Sorting Algorithms for Manycore GPUs Nadathur Satish University of California, Berkeley Mark Harris Michael Garland NVIDIA Corporation Abstract We describe the design of high-performance parallel radix sort and merge sort routines for manycore GPUs, tak- ing advantage of the full ...
Output has many methods for efficiently writing primitives and strings to bytes. It provides functionality similar to DataOutputStream, BufferedOutputStream, FilterOutputStream, and ByteArrayOutputStream, all in one class. Tip: Output and Input provide all the functionality of ByteArrayOutputStream. ...
The hierarchical structure described above yields an efficient mapping to the CUDA execution model and CUDA/TensorCores in NVIDIA GPUs. The following sections describe strategies for obtaining peak performance for all corners of the design space, maximizing parallelism and exploiting data locality wherever...
In some aspects, GPUs can apply the drawing or rendering process to different bins or tiles. For instance, a GPU can render to one bin, and perform all the draws for the primitives or pixels in the bin. During the process of rendering to a bin, the render targets can be located in ...
It could be bottleneck on devices with strong computing power, e.g., GPUs. This cost should not be simply ignored during network architecture design. Another one is degree of parallelism. A model with high degree of parallelism could be much faster than another one with low degree of ...
Then we designed our extra Rower for computations modulo mγ on 6 stages to simplify synchronizations. We select mγ=26 and all other moduli as odd values to make this unit very small and simple. Our architecture, depicted in Fig. 1, is close to the state-of-art one presented in [14...
It could be bottleneck on devices with strong computing power, e.g., GPUs. This cost should not be simply ignored during network architecture design. Another one is degree of parallelism. A model with high degree of parallelism could be much faster than another one with low degree of ...
(MAC). Such cost constitutes a large portion of runtime in certain operations like group convolution. It could be bottleneck on devices with strong computing power, e.g., GPUs. This cost should not be simply ignored during network architecture design. Another one isdegree of parallelism. A ...