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Primeur weekly 2011-12-19

Special

SARA supercomputers today 600.000 times faster than its first 100 Mflop/s Cyber 205 supercomputer in 1983 ...

SC'11 bigger than ever ...

The Cloud

Atos leads the OPTIMIS project for the optimisation of services in Cloud ...

ISGC 2012 registration opens now ...

ConteXtream launches software-defined network virtualization solution for Cloud and hosting providers ...

BGI-BOX terminal server debut operation in China Agricultural University ...

Amazon Web Services launches Brazil data centres for its Cloud computing platform ...

Office 365 becomes first and only major Cloud productivity service to comply with leading EU and U.S. standards for data protection and security ...

EuroFlash

Counting the cost of research computing infrastructures ...

Bull taps Nimsoft to expand its Vision Services ...

ATLAS and CMS experiments present Higgs search status ...

New supercomputer for Bielefeld's high-energy physicists ...

Slovak Academy of Science selects IBM Power Systems and Storage for National Supercomputing Project ...

Multi-purpose photonic chip paves the way to programmable quantum processors ...

USFlash

Cray XMT supercomputer arrives at the Noblis Center for Applied High Performance Computing ...

SDSC welcomes 'Gordon' supercomputer as a research powerhouse ...

Triton resource helps track how kinesin molecules move ...

Astronomical amount of data travels across Western Canada to support space research ...

Jacket v2.0 for faster code in MATLAB ...

GPU-accelerated engineering simulation application to enable highest quality products for aerospace and other mission critical fields ...

BGI tackles DNA data deluge using NVIDIA Tesla GPUs ...

Chinese Ministry of Education to integrate CUDA programming curriculum in universities nationwide ...

NVIDIA opens up CUDA Platform by releasing compiler source code ...

High-energy physicists set record for network data transfer ...

Rogue Wave announces support for upcoming Intel Many Integrated Core architecture based products ...

Rogue Wave announces Stingray Studio 11.0 release ...

TotalView selected for China's National Supercomputing Centre in Shenzhen ...

New application makes supercomputing simple ...

HP enables organisations worldwide to expand data centre resources with HP POD ...

Oracle delivers record performance result for a two processor Intel-based system with TPC-C benchmark ...

Early black holes grew big eating cold, fast food ...

Chinese Ministry of Education to integrate CUDA programming curriculum in universities nationwide

13 Dec 2011 Beijing - The Chinese Ministry of Education is planning to offer NVIDIA CUDA architecture-focused programming courses at potentially hundreds of universities nationwide beginning in the second half of 2012, resulting in up to 20,000 students being trained annually on the best CUDA and parallel-programming practices.

NVIDIA worked closely with the Ministry's National High-Quality Course Resource Center to develop the new course, entitled "GPU-Based Parallel Computing". It has been designed to help students master all aspects of parallel programing on heterogeneous and GPU-based computing systems, and apply this knowledge to a range of scientific and engineering disciplines.

"In the era of knowledge economy, technology education is critical in building students' competitiveness in a global environment", stated Mr. Li Maoguo, division director of the higher education bureau, Chinese Ministry of Education. "We encourage universities and colleges to learn from industry enterprises about their leading technologies, and to co-operate with them to produce more curriculums of excellence. This will cater to the higher-education objective of supplying more capable talent for the development of contemporary Chinese society."

The goal of the CUDA programming course is to help students develop a solid background on parallel computing, as well as on algorithm and programme design that solve real-world problems. It will cover a range of parallel programing concepts, including GPU hardware configurations, programming models, memory models, application acceleration, data-level parallel algorithms, and parallel complexity analysis.

"The practice of developing curriculum jointly between CNCRC and NVIDIA meets the ongoing requirement of reforming Chinese education, and sets an example by introducing parallel computing computer education discipline", stated Mr. Wang Hongyu, deputy director of the China National Curriculum Resource Center. "This curriculum will play a profound role in enhancing students' ability in the current competitive job market. Meanwhile, this joint-effort is one of CNCRC's most important pilot projects whose vision is to develop curriculums of excellence of diversified industries."

"Already being the most powerful computing device, the GPU is revolutionizing the landscape of today's computing", stated Deng Yangdong, associate professor of Institute of Microelectronics at Tsinghua University. "Its wide availability combined with the easy-to-use CUDA parallel programming model enables us to teach tomorrow's engineers and researchers on how to deliver a new wave of innovations by unleashing the power of modern parallel processors."

Chang'an University, located in Xi'an, is among the first Chinese universities to offer the new CUDA programming curriculum as an optional course for students in computer science, electronic engineering and related fields. Other institutions expected to begin offering the course in the spring term next year include Tsinghua University, and South China University of Technology. It is expected to be widely available in universities nationwide in the second term in 2012.

"Academic, engineering and scientific professionals are increasingly leveraging GPU computing to drive research and discovery across a broad range of fields", stated David Luebke, director of research at NVIDIA. "We expect the adoption of parallel programing to continue growing exponentially worldwide in the coming years, and courses like this are vital to the next wave of programmers. NVIDIA will continue to work with the National High-Quality Course Resource Center to add a range of new CUDA and GPU computing courses for Chinese educators in the future."

CUDA is NVIDIA's parallel computing architecture, which enables dramatic increases in computing performance by harnessing the power of GPUs. NVIDIA CUDA GPUs support all GPU computing programming models, APIs, and languages, including CUDA C/C++/Fortran, OpenCL, DirectCompute, and the recently announced Microsoft C++ AMP. More than 470 universities and institutions worldwide teach the CUDA programming model within their curriculum.
Source: NVIDIA

Back to Table of contents

Primeur weekly 2011-12-19

Special

SARA supercomputers today 600.000 times faster than its first 100 Mflop/s Cyber 205 supercomputer in 1983 ...

SC'11 bigger than ever ...

The Cloud

Atos leads the OPTIMIS project for the optimisation of services in Cloud ...

ISGC 2012 registration opens now ...

ConteXtream launches software-defined network virtualization solution for Cloud and hosting providers ...

BGI-BOX terminal server debut operation in China Agricultural University ...

Amazon Web Services launches Brazil data centres for its Cloud computing platform ...

Office 365 becomes first and only major Cloud productivity service to comply with leading EU and U.S. standards for data protection and security ...

EuroFlash

Counting the cost of research computing infrastructures ...

Bull taps Nimsoft to expand its Vision Services ...

ATLAS and CMS experiments present Higgs search status ...

New supercomputer for Bielefeld's high-energy physicists ...

Slovak Academy of Science selects IBM Power Systems and Storage for National Supercomputing Project ...

Multi-purpose photonic chip paves the way to programmable quantum processors ...

USFlash

Cray XMT supercomputer arrives at the Noblis Center for Applied High Performance Computing ...

SDSC welcomes 'Gordon' supercomputer as a research powerhouse ...

Triton resource helps track how kinesin molecules move ...

Astronomical amount of data travels across Western Canada to support space research ...

Jacket v2.0 for faster code in MATLAB ...

GPU-accelerated engineering simulation application to enable highest quality products for aerospace and other mission critical fields ...

BGI tackles DNA data deluge using NVIDIA Tesla GPUs ...

Chinese Ministry of Education to integrate CUDA programming curriculum in universities nationwide ...

NVIDIA opens up CUDA Platform by releasing compiler source code ...

High-energy physicists set record for network data transfer ...

Rogue Wave announces support for upcoming Intel Many Integrated Core architecture based products ...

Rogue Wave announces Stingray Studio 11.0 release ...

TotalView selected for China's National Supercomputing Centre in Shenzhen ...

New application makes supercomputing simple ...

HP enables organisations worldwide to expand data centre resources with HP POD ...

Oracle delivers record performance result for a two processor Intel-based system with TPC-C benchmark ...

Early black holes grew big eating cold, fast food ...