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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 6 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 6 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...
ADHOC
2006
113views more  ADHOC 2006»
14 years 12 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
16 years 14 days 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
15 years 1 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...