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AGI
2008
13 years 10 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch
GRID
2004
Springer
14 years 2 months ago
Design, Implementation and Performance Evaluation of GridRPC Programming Middleware for a Large-Scale Computational Grid
This paper reports on the design, implementation and performance evaluation of a suite of GridRPC programming middleware called Ninf-G Version 2 (Ninf-G2). NinfG2 is a reference i...
Yoshio Tanaka, Hiroshi Takemiya, Hidemoto Nakada, ...
IPPS
2005
IEEE
14 years 2 months ago
Monitoring and Debugging Parallel Software with BCS-MPI on Large-Scale Clusters
Buffered CoScheduled (BCS) MPI is a novel implementation of MPI based on global synchronization of all system activities. BCS-MPI imposes a model where all processes and their com...
Juan Fernández, Fabrizio Petrini, Eitan Fra...
SC
2003
ACM
14 years 2 months ago
BCS-MPI: A New Approach in the System Software Design for Large-Scale Parallel Computers
Buffered CoScheduled MPI (BCS-MPI) introduces a new approach to design the communication layer for largescale parallel machines. The emphasis of BCS-MPI is on the global coordinat...
Juan Fernández, Eitan Frachtenberg, Fabrizi...
CLUSTER
2003
IEEE
14 years 2 months ago
Application-Bypass Reduction for Large-Scale Clusters
Process skew is an important factor in the performance of parallel applications, especially in large-scale clusters. Reduction is a common collective operation which, by its natur...
Adam Wagner, Darius Buntinas, Dhabaleswar K. Panda...