10 New CUDA Research and Teaching Centers Announced

by Chandra Cheij

Another 10 institutions from six countries were added this past quarter to our roster of CUDA Research Centers and CUDA Teaching Centers, bringing the total to 238.

Work being done at the ten new centers includes three-dimensional genome sequencing for cancer research, graphics and numeric programming, and design of programming and runtime systems for heterogeneous nodes and clusters. There are now CUDA Research and Teaching centers in 42 countries.

CUDA Teaching Centers equip tens of thousands of students graduating each year with the knowledge and expertise to take advantage of the parallel processing power of GPUs (see “What Is CUDA?”). They get free teaching kits, textbooks, software licenses, NVIDIA CUDA architecture-enabled GPUs for teaching lab computers and academic discounts for additional hardware.

CUDA Research Centers embrace GPU computing across multiple research fields. They have access to exclusive events with key researchers and academics, a designated NVIDIA technical liaison and specialized training sessions.

Here are some examples of CUDA-related work taking place at some of our newest CUDA Research Centers:

Baylor College of Medicine - Rice UniversityBaylor College of Medicine/Rice University (U.S.)

Baylor College of Medicine and Rice are working on the analysis of the three-dimensional structure of the human genome. They will be using CUDA technology to increase the throughput of genomic analyses, to accelerate physical simulations of genome folding, and to enable a wide range of high-throughput biophysical assays.

Exascale Research Lab IIT DelhiIndian Institute of Technology, Delhi (India)

The new Exascale Research Lab IIT Delhi will provide advanced ongoing research, testing, and technology development in a variety of areas including processor architecture, circuits, memory architecture, high-speed signaling, programming models, algorithms and applications. The lab will also apply its work to address next-generation scientific challenges in computer science, nanotechnology, material science, power engineering and other domains.

Technion - Israel Institute of TechnologyTechnion (Israel)

The CUDA Research Center at Technion runs as part of the Technion Computer Engineering Center, an international computer engineering research and education center. The CUDA Research Center was established to educate, research and support the development of heterogeneous systems using NVIDIA technologies in areas such as computer architecture, parallel systems, graphics and geometric computing, geometric image processingimage processing and more.

Mizzou - University of MissouriUniversity of Missouri (US)

The CUDA Research Center at University of Missouri was established to support a variety of research activities employing CUDA technology. Two key research thrusts: the design of runtime systems for CPU-GPU clusters, and the study of programming models and parallelization mechanisms to allow the deployment of irregular applications on GPUs. Recently, it was awarded a grant by the National Science Foundation to design scheduling and virtualization technologies to efficiently enable many-core devices in cluster and cloud environments.

The new CUDA Teaching Centers include:

  • Indian Institute of Technology Gandhinagar (India)
  • Laboratório Nacional de Computação Científica (Brazil)
  • Nanyang Technological University (Singapore)
  • Tsinghua University (China)
  • University of Houston (US)
  • University of Science and Technology of China (China)

Separately, we are excited to announce that we’ve upgraded our Center Rewards Program. Anyone at one of our CUDA Centers can receive a 15 percent discount on all the latest Tesla Kepler GPU accelerators from any preferred solution provider. The CUDA Center Reward Pricing applies to Tesla K20X for servers, Tesla K20 for servers and workstations and Tesla K10 for servers (some limitations will apply). To verify if your institution is a current CUDA Center, check here.

For more information on NVIDIA research activities and these programs, please visit the NVIDIA Research site.