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GPU programming in Scala. Contribute to firepile/firepile development by creating an account on GitHub.
The Firepile library supports a richer programming model, allowing kernels to be written in Scala. Firepile works by translating func- tion values at run time into code trees, from which GPU kernels can be generated. Performance of Firepile kernels is comparable to the performance of native C code.
31 ago 2015 · The stack provides manager functionality for SNMPv1, SNMPv2c and SNMPv3 (authentication and privacy)! It is capable of sending and receiving PDUs, but has limited agent functionality. Download firepile for free. GPU Programming in Scala.
We describe Firepile, a library for GPU programming in Scala. The library enables a subset of Scala to be executed on the GPU. Code trees can be created from run-time function values, which can then be analyzed and transformed to generate GPU code. A key property of this mechanism is that it is modular: unlike with
22 ott 2011 · We describe Firepile, a library for GPU programming in Scala. The library enables a subset of Scala to be executed on the GPU. Code trees can be created from run-time function values, which can then be analyzed and transformed to generate GPU code.
- Nathaniel Nystrom, Derek White, Kishen Das
- 2011
22 ott 2011 · Our experiments show Firepile users can achieve performance comparable to C code targeted to the GPU with shorter, simpler, and easier-to-understand code.
27 mar 2015 · firepile has one repository available. Follow their code on GitHub.
