Tag: programming
Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries
We present a comparison of several modern C++ libraries providing high-level interfaces for programming multi- and many-core architectures on top of CUDA or OpenCL
Energy-aware GPU programming at source-code levels
To enhance the energy efficiency and performance of algorithms with Graphics Processing Unit (GPU) accelerators in source-code development, we consider the power efficiency based on data transfer bandwidth and power consumption in key situations
Google Kicks Off Summer of Code 2012
Students, start your coding engines. Google’s annual Summer of Code program, which helps college students write open source software during their summer vacations, starts today.
NCSA to host FREE summer courses on heterogeneous programming
NCSA will host two courses offered by the Virtual School of Computational Science and Engineering (VSCSE) this summer: Programming Heterogeneous Parallel Computing Systems and…
GoingNative 7: VC11 Auto-Vectorizer, C++ NOW, Lang.NEXT
Most of the time is spent discussing VC11′s Auto-Vectorizer with a few short forays into other VC compiler improvements (like Auto-Parallelizer).
GoingNative 2012 Keynote by Bjarne Stroustrup: C++11 Style – A Touch of Class
How do we write good code? What principles, techniques, and idioms can we exploit to make it easier to produce quality code? In this presentation, I make an argument for type-rich interfaces, compact data structures, integrated resource management and error handling, and highly-structured algorithmic code.
Microsoft published Accelerated Massive Parallelism for C++ Specs
Microsoft on Friday announced the publication of the C++ Accelerated Massive Parallelism (AMP) specification. This specification lets C++ developers write programs that can compile and execute on data-parallel hardware like discrete graphics cards or the SIMD vector instruction set in a processor.
Fortran for Scientific Computing Course in Stuttgart, March 5-9, 2012
The High Performance Computing Center Stuttgart (HLRS) opened the registration for the following course: “Fortran for Scientific Computing”
Using explicit platform descriptions to support programming of heterogeneous many-core systems
We show various usage scenarios of our PDL and demonstrate the effectiveness of our framework for a commonly used scientific kernel and a financial application on different configurations of a state-of-the-art CPU/GPU system.
9th Workshop on Practical Aspects of High-Level Parallel Programming (PAPP 2012)
The PAPP workshop focuses on practical aspects of high-level parallel programming: design, implementation and optimisation of high-level programming languages, semantics of parallel languages, formal verification, design or certification of libraries, middle-wares and tools
