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Another approach can be just-in-time (JIT) kernel compilation.
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Functions on the GPU are inlined into kernels during compilation, so they do not incur the stack and execution time as in CPU code.
Compilation... compilers?
Finding the kernel structure matrix also theoretically enhances compilation of national, regional and international IO tables by the RAS method, for example.
This kernel is integrated in a cross-compilation system based on GNAT 3.13, supporting the subset of Ada 95 tasking which is allowed by the Ravenscar profile in an efficient and compact way.
All compilation and configuration of the kernel is done through the OpenEmbedded (OE) development environment.
In both cases, the operating systems are Debian 2.6.38 kernels; the compiler used is a GNU g++ v.4.4 with compilation flags -O3 -m64 -fopenmp and CUDA C/C++ SDK v.4.2 with -O3 -fopenmp -arch sm_20/13 flags enabled.
There are more sophisticated non-parametric estimates of (6) using kernel weights and there are also parametric models (for a good compilation see Pepe 2003), but expression (6) has intuitive appeal.
Even with these gains for the flux kernel, with respect to execution time the MIC simply achieves par with optimized compilation on a contemporary multi-core Intel CPU, the 16-core Sandy Bridge E5 2670.
In particular, our approach allows developers to control all stages of a hardware/software compilation and synthesis toolchain: from code transformations and compiler optimizations to placement and routing for tuning the performance of application kernels.
Every aspect of the framework is examined through relevant performance benchmarks, including the impact of data parallelism on the performance of isomorphic and nonisomorphic tensor products, the FLOP and memory I/O optimality in the evaluation of tensor networks, the compilation cost and memory footprint of the framework and the performance of tensor cross product kernels.
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