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.”
“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.”
“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.”
“Our computing systems continue to evolve, providing significant challenges to the programming teams managing large, long-lived projects. Issues include rapidly increasing on-node parallelism, varying forms of heterogeneity, deepening memory hierarchies, growing concerns around resiliency and silent data corruption, and worsening storage bottlenecks.”
Learn how OpenACC runtimes also exposes performance-related information revealing where your OpenACC applications are wasting clock cycles. The talk will show that profilers can connect with OpenACC applications to record how much time is spent in OpenACC regions and what device activity it turns into.
The 2nd Workshop on Accelerator Programming using Directives has issued its Call for Papers. The WACCPD Workshop takes place Nov. 16 in Austin in conjunction with SC15.
“The free ride of faster performance with increased clock speeds is long gone. Software must be both threaded and vectorized to fully utilize today’s and tomorrow’s hardware. But modernization is not without cost. Not all threading or vectorization designs are worthwhile. How do you choose which designs to implement without disrupting ongoing development? Learn how data driven threading and vectorization design can yield long term performance growth with less risk and more impact.”