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Video: Porting Physics Apps to Titan with OpenACC

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In this video, Aaron Vose from Cray presents: Porting Computational Physics Applications to the Titan Supercomputer with OpenACC and OpenMP.

Pawsey Supercomputer Center Receives $21.6M Funding

pawsey

Today the Pawsey Supercomputing Center announced $21.6 million of funding from the Australian government. The operational funding, which runs until 2020-21, allows the Pawsey Supercomputing Centre to continue providing world-class resources and expertise in supercomputing, data and visualization and recognizes the WA Government’s significant commitment to cementing the State’s place as a scientific computing hub.

Video: L-CSC Cluster Tops Green500 with AMD Firepro

Dr. Rohr, and the L-CSC cluster,  currently 1st on the Green 500 List

In this video, researchers describes the Lattice-CSC cluster in Darmstadt, Germany. Currently the most energy-efficient supercomputer on the Green500 list, the Lattice-CSC is powered by 640 AMD FirePro S9150 GPUs to achieve 5.27 GFLOPS/Watt.

Video: Introduction to Docker

Solomon Hykes

In this video, Docker Founder and CTO Soloman Hykes explains what Docker is and why developers like it. “Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere.”

Lustre & Kerberos: In Theory and In Practice

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“Kerberos is the most famous way to allow safe communications over a non-secure network, by providing authentication and encryption. This presentation will show how far Lustre can go in Kerberos security, and what kind of authentication and encryption we can get to work. We will also take an interest in the impact of various Kerberos flavors over performance.”

Video: Accelerated Quantum Chemistry with CP2K

cp2k

“Learn how we achieve great GPU performance with an auto-tuned sparse matrix multiplication library, enabling quantum simulation of millions of electrons.”

Video: High Performance Computing with Python

sharcnet

“This talk will discuss various strategies to make a serial Python code faster, for example using libraries like NumPy, or tools like Cython which compile Python code. The talk will also discuss the available tools for running Python in parallel, focusing on the mpi4py module which implements MPI (Message Passing Interface) in Python.”

Comparing OpenACC and OpenMP Performance and Programmability

larkin

“OpenACC and OpenMP provide programmers with two good options for portable, high-level parallel programming for GPUs. This talk will discuss similarities and differences between the two specifications in terms of programmability, portability, and performance.”

UPC and OpenSHMEM PGAS Models on GPU Clusters

DK Panda, Ohio State University

“Learn about extensions that enable efficient use of Partitioned Global Address Space (PGAS) Models like OpenSHMEM and UPC on supercomputing clusters with NVIDIA GPUs. PGAS models are gaining attention for providing shared memory abstractions that make it easy to develop applications with dynamic and irregular communication patterns. However, the existing UPC and OpenSHMEM standards do not allow communication calls to be made directly on GPU device memory. This talk discusses simple extensions to the OpenSHMEM and UPC models to address this issue.”

Deep Learning at Scale

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“We present a state-of-the-art image recognition system, Deep Image, developed using end-to-end deep learning. The key components are a custom-built supercomputer dedicated to deep learning, a highly optimized parallel algorithm using new strategies for data partitioning and communication, larger deep neural network models, novel data augmentation approaches, and usage of multi-scale high-resolution images.”