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» Massively parallel processing on a chip
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PVLDB
2008
182views more  PVLDB 2008»
13 years 7 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
BMCBI
2011
13 years 2 months ago
DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI
Background: Next-generation sequencing technologies have led to the high-throughput production of sequence data (reads) at low cost. However, these reads are significantly shorter...
Yongchao Liu, Bertil Schmidt, Douglas L. Maskell
ISNN
2005
Springer
14 years 1 months ago
A SIMD Neural Network Processor for Image Processing
Abstract. Artificial Neural Networks (ANNs) and image processing requires massively parallel computation of simple operator accompanied by heavy memory access. Thus, this type of ...
Dongsun Kim, Hyunsik Kim, Hongsik Kim, Gunhee Han,...
IPPS
2000
IEEE
13 years 12 months ago
Pulse-Modulated Vision Chips with Versatile-Interconnected Pixels
This paper proposes and demonstrates novel types of vision chips that utilize pulse trains for image processing. Two types of chips
Jun Ohta, Akihiro Uehara, Takashi Tokuda, Masahiro...
DFT
2007
IEEE
86views VLSI» more  DFT 2007»
14 years 1 months ago
Production Yield and Self-Configuration in the Future Massively Defective Nanochips
We address two problems in this work, namely, 1) the resilience challenge in the future chips made up of massively defective nanoelements and organized in replicative multicore ar...
Piotr Zajac, Jacques Henri Collet