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Minsky at Murex: GPUs for Risk Management

Pierre Spatz from Murex gave this talk at the NVIDIA GPU Technology Conference. “Murex has been an early adopters of GPU for pricing and risk management of complex financial options. GPU adoption has generated performance boost of its software while reducing its usage cost. Each new generation of GPU has also shown the importance of the necessary reshaping of the architecture of the software using its GPU accelerated analytics. Minsky featuring far better GPU memory bandwidth and GPU-CPU interconnect rase the bar even further. Murex will show how it has handled this new challenge for its business.”

Video: Dell EMC Innovation for the Oil & Gas industry

In this video from the Dell EMC HPC Community Meeting in Austin, David Holmes from Dell EMC describes how the company is bringing technical innovation to the Oil & Gas industry. “We partner strongly with Intel and Nvidia and we take advantage of Intel Xeon scalable processes, Intel Xeon Phi processors, and Nvidia GPUs. And depending on the workloads, different computational requirements will run best on these different platforms. And we’re now able to help companies build this new breed of composable systems, which provide a broad set of resources that can be dynamically assigned to the different workloads that companies want to run.”

Supercomputing how Fish Save Energy Swimming in Schools

Over at CSCS, Simone Ulmer writes that researchers at ETH Zurich have clarified the previously unresolved question of whether fish save energy by swimming together in schools. They achieved this by simulating the complex physics on the supercomputer ‘Piz Daint’ and combining detailed flow simulations with a reinforcement learning algorithm for the first time. “In their simulations, they have not examined every aspect involved in the efficient swimming behavior of fish. However, it is clear that the developed algorithms and physics learned can be transferred into autonomously swimming or flying robots.”

The Simulation of the Behavior of the Human Brain using CUDA

Pedro Valero-Lara from BSC gave this talk at the GPU Technology Conference. “The attendees can learn about how the behavior of Human Brain is simulated by using current computers, and the different challenges which the implementation has to deal with. We cover the main steps of the simulation and the methodologies behind this simulation. In particular we highlight and focus on those transformations and optimizations carried out to achieve a good performance on NVIDIA GPUs.”

University of Pisa Extends Server Memory with Intel Optane and Dell EMC

In this video from the Dell HPC Community meeting, Maurizio Davini and Antonio Cisternino from the University of Pisa describe the work they are doing to extend server memory with Intel Optane technology. “Intel Optane technology provides an unparalleled combination of high throughput, low latency, high quality of service, and high endurance. This technology is a unique combination of 3D XPoint memory media, Intel Memory and Storage Controllers, Intel Interconnect IP and Intel software.”

Quantum Computing in China: Progress on a Superconducting Multi-Qubits System

Dr. Xiaobo Zhu from China’s University of Science and Technology gave this talk at the HPC User Forum in Tucson. “CAS-Alibaba Quantum Computing Laboratory introduces quantum technology into computing sciences, aiming to manufacture high-speed quantum computers, and propelling quantum revolution in the computing world. This research has resulted in a Quantum Computing Cloud powered by a quantum processor which includes 11 superconducting qubits. This superconducting quantum chip works at extreme temperatures as low as 10mk (or -273.14℃).”

Inside the Volta GPU Architecture and CUDA 9

“This presentation will give an overview about the new NVIDIA Volta GPU architecture and the latest CUDA 9 release. The NVIDIA Volta architecture powers the worlds most advanced data center GPU for AI, HPC, and Graphics. Volta features a new Streaming Multiprocessor (SM) architecture and includes enhanced features like NVLINK2 and the Multi-Process Service (MPS) that delivers major improvements in performance, energy efficiency, and ease of programmability. You”ll learn about new programming model enhancements and performance improvements in the latest CUDA9 release.”

Video: NVMe Takes It All, SCSI Has To Fall

Alexander Ruebensaal from ABC Systems AG gave this talk at the Swiss HPC Conference in Lugano. “NVMe has beome the main focus of storage developments when it comes to latency, bandwidth, IOPS. There is already a broad range of standard products available – server or network based.”

Collaborating for Innovation in the Dell EMC HPC Community

In this video from the Dell EMC HPC Community Meeting, Adnan Khaleel from Dell EMC describes how the company works with partners to deliver high performance solutions. “It’s really the conversations that we have in the corridors and the in mixers where they learn a lot of how we do our future planning, how we can work together, how we can collaborate not just with Dell EMC, but even amongst themselves.”

Brain Research: A Pathfinder for Future HPC

Dirk Pleiter from the Jülich Supercomputing Centre gave this talk at the NVIDIA GPU Technology Conference. “One of the biggest and most exiting scientific challenge requiring HPC is to decode the human brain. Many of the research topics in this field require scalable compute resources or the use of advance data analytics methods (including deep learning) for processing extreme scale data volumes. GPUs are a key enabling technology and we will thus focus on the opportunities for using these for computing, data analytics and visualization. GPU-accelerated servers based on POWER processors are here of particular interest due to the tight integration of CPU and GPU using NVLink and the enhanced data transport capabilities.”