Scan Primitives for GPU Computing (2007)

by Shubhabrata Sengupta , Mark Harris , Yao Zhang , John D. Owens
Venue:GRAPHICS HARDWARE 2007
Citations:111 - 8 self

Active Bibliography

18 Fast Scan Algorithms on Graphics Processors – Yuri Dotsenko, Naga K. Govindaraju, Peter-pike Sloan, Charles Boyd, John Manferdelli - 2008
Efficient Primitives and Algorithms for Many-core architectures – Shubhabrata Sengupta - 2010
13 Efficient parallel scan algorithms for GPUs – Shubhabrata Sengupta, Mark Harris, Michael Garland - 2008
1 State-of-the-art in heterogeneous computing – Andre R. Brodtkorb , Christopher Dyken , Trond R. Hagen , Jon M. Hjelmervik , Olaf O. Storaasli - 2010
319 A survey of general-purpose computation on graphics hardware – John D. Owens, David Luebke, Naga Govindaraju, Mark Harris, Jens Krüger, Aaron E. Lefohn, Tim Purcell - 2007
unknown title – unknown authors
5 Efficient Stream Reduction on the GPU – David Roger, Ulf Assarsson
Rise of the Graphics Processor -- Programmable graphics processors can be used for applications such as image and signal processing, linear algebra, engineering analysis, physical simulation, database management, financial services, and molecular biology – David Blythe - 2008
216 Sparse matrix solvers on the GPU: conjugate gradients and multigrid – Jeff Bolz, Ian Farmer, Eitan Grinspun, Peter Schröder - 2003
7 Efficient Stream Compaction on Wide SIMD Many-Core Architectures – Markus Billeter, Ola Olsson, Ulf Assarsson
15 Fast tridiagonal solvers on the GPU – Yao Zhang, Jonathan Cohen, John D. Owens - 2010
Parallel H-Tree Based Data Cubing on Graphics Processors – Baoyuan Wang, Yizhou Yu
7 Resolution-matched shadow maps – Aaron E. Lefohn, Shubhabrata Sengupta, John D. Owens - 2007
2 Practical CFD Simulations on Programmable Graphics Hardware using SMAC Abstract – Carlos E. Scheidegger, João L. D. Comba, Rudnei D. Da Cunha
26 Segmented Operations for Sparse Matrix Computation on Vector Multiprocessors – Guy Blelloch , Michael A. Heroux, Marco Zagha - 1993
7 Glift: Generic Data Structures for Graphics Hardware – Aaron Eliot Lefohn - 2006
by – Aaron Eliot Lefohn, Aaron Eliot Lefohn - 2006
35 Relational joins on graphics processors – Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga Govindaraju, Qiong Luo, Pedro S - 2007
11 Enlarging the Scope of Vector-Based Computations: Extending Fortran 90 by Nested Data Parallelism – K. T. P. Au, M.M.T. Chakravarty, J. Darlington, Y. Guo, S. Jähnichen, M. Köhler, G. Keller, W. Pfannenstiel, M. Simons - 1997