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» Parallelizing Functional Programs by Generalization
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ICS
2009
Tsinghua U.
16 years 1 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...
IPPS
2002
IEEE
15 years 11 months ago
Implementing the NAS Benchmark MG in SAC
SAC is a purely functional array processing language designed with numerical applications in mind. It supports generic, high-level program specifications in the style of APL. How...
Clemens Grelck
IEEEPACT
2000
IEEE
15 years 11 months ago
Global Register Partitioning
Modern computers have taken advantage of the instruction-level parallelism (ILP) available in programs with advances in both architecture and compiler design. Unfortunately, large...
Jason Hiser, Steve Carr, Philip H. Sweany
ALT
2003
Springer
16 years 3 months ago
Intrinsic Complexity of Uniform Learning
Inductive inference is concerned with algorithmic learning of recursive functions. In the model of learning in the limit a learner successful for a class of recursive functions mus...
Sandra Zilles
ICFP
2008
ACM
16 years 6 months ago
Write it recursively: a generic framework for optimal path queries
Optimal path queries are queries to obtain an optimal path specified by a given criterion of optimality. There have been many studies to give efficient algorithms for classes of o...
Akimasa Morihata, Kiminori Matsuzaki, Masato Takei...