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» Performance study of mapping irregular computations on GPUs
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FCCM
2008
IEEE
212views VLSI» more  FCCM 2008»
15 years 4 months ago
Map-reduce as a Programming Model for Custom Computing Machines
The map-reduce model requires users to express their problem in terms of a map function that processes single records in a stream, and a reduce function that merges all mapped out...
Jackson H. C. Yeung, C. C. Tsang, Kuen Hung Tsoi, ...
ICS
2009
Tsinghua U.
15 years 4 months ago
High-performance CUDA kernel execution on FPGAs
In this work, we propose a new FPGA design flow that combines the CUDA programming model from Nvidia with the state of the art high-level synthesis tool AutoPilot from AutoESL, to...
Alexandros Papakonstantinou, Karthik Gururaj, John...
75
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ADHOC
2006
113views more  ADHOC 2006»
14 years 9 months ago
Positioning using local maps
ct 9 It is often useful to know the positions of nodes in a network. However, in a large network it is impractical to build a 10 single global map. In this paper, we present a new ...
Yi Shang, Wheeler Ruml, Markus P. J. Fromherz
ISBI
2008
IEEE
15 years 10 months ago
Pathological image segmentation for neuroblastoma using the GPU
We present a novel use of GPUs (Graphics Processing Units) for the analysis of histopathologicalimages of neuroblastoma, a childhood cancer. Thanks to the advent of modern microsc...
Antonio Ruiz, Jun Kong, Manuel Ujaldon, Kim L. Boy...
ASPLOS
2008
ACM
14 years 11 months ago
Optimistic parallelism benefits from data partitioning
Recent studies of irregular applications such as finite-element mesh generators and data-clustering codes have shown that these applications have a generalized data parallelism ar...
Milind Kulkarni, Keshav Pingali, Ganesh Ramanaraya...