Created with Sketch.
23 minutes | 24 days ago
At the OpenMP Forefront
Who better to have a spicy discussion with about #OpenMP than Tim Mattson and Bronis de Supinski? These two have truly lived at the forefront of the amazing, decades-long OpenMP journey, from its inception to its preeminence as a foundational tool for HPC application programmers. Listen to what’s coming in 5.1 and beyond, how the C++ ecosystem is evolving, why Python in HPC, and have fun as these two razz each other. Guests: Bronis de Supinski, Chief Technology Officer, Livermore Computing, Lawrence Livermore National Lab; Chair, OpenMP Language Committee Tim Mattson, Senior Principal Engineer, and Manager, Programming Systems Research Group, Intel To learn more: OpenMP.org Intel oneAPI HPC Toolkit oneAPI
19 minutes | 25 days ago
Celebrating Women Innovators: Two Trailblazers Who Are Advancing Technology
Denisa Constantinescu, a PhD student in Mechatronics, and a researcher in the Computer Architecture Department at the University of Malaga, and Maura Tokay, a lead software programmer at Science Systems and Applications, Inc., and a computer scientist within the Department of Agriculture, share how their work is helping advance the fields of robotics, economics, manufacturing, agriculture and more, supported by oneAPI and the Intel DevCloud. They inspire us with glimpses of their journeys into tech, and what they’re looking forward to. Guests: Denisa Constantinescu, a PhD student in mechatronics and a researcher in the Computer Architecture Department at the University of Malaga Maura Tokay, computer scientist and lead software programmer at Science Systems and Applications, Inc., and recent Master’s graduate at the University of Maryland Baltimore County (UMBC) To learn more: denisa-c.com devmesh.intel.com/projects/predicting-corn-wheat-and-soybean-yield oneapi.com/events/devcon2020 oneAPI devcloud.intel.com/oneapi/get_started
22 minutes | a month ago
In Pursuit of the Holy Grail: Portable, Performant Programming
Dr. Tom Deakin, senior research associate and lecturer in the High-Performance Computing Research Group at the University of Bristol, and Dr. James Brodman, software engineer at Intel, unpack the tricky topic of performance portability to reveal what this concept truly means and ways to achieve it. As contributors to the Khronos SYCL Working Group—from the user and implementer perspectives—they talk about the exciting growth of the SYCL community, marked, in part, by its implementations that now support a variety of hardware architectures, including DPC++ and hipSYCL. Guests: Tom Deakin, Senior Research Associate and Lecturer, High-Performance Computing Research Group, University of Bristol Dr. James Brodman, Software Engineer, Intel Data Parallel C++ compiler Khronos SYCL Intel DevCloud SYCL.tech High-Performance Computing Research Group, University of Bristol hpc.tomdeakin.com oneAPI Supercomputing 2020
17 minutes | a month ago
Optimizing HPC Clusters: Meeting the Challenges of Today and Tomorrow
As high performance computing (HPC) moves far beyond its traditional users to the domains of AI, machine learning, enterprises and the cloud, and heterogeneous programming becomes the norm, Nico Mittenzwey, senior HPC engineer at Megware Computer, and Mike Lee, technical, enterprise and cloud segment marketing manager at Intel, discuss the considerations in optimizing HPC clusters and applications. Nico explains how the Intel MPI Library has helped Megware and its customers rise to these challenges, providing real-world examples of two of the company’s most recent projects. He also explores the challenges of fragmentation in heterogeneous computing environments, and how a single, common programming model can help address these challenges. To learn more: software.intel.com/content/www/us/en/develop/tools/mpi-library.html software.intel.com/content/www/us/en/develop/topics/data-center.html megware.com/en/ oneapi.com
25 minutes | 3 months ago
An Open Road to Swift Dataframe Scaling
Data scientists spend 60% of their time cleaning and preprocessing data, transforming this dirty data into crystallized insights. Dataframes, such as Pandas, provide exceptional tooling to address data wrangling tasks, yet Pandas themselves increasingly lack ease and speed as they scale. Alex Baden, Technical Director at OmniSci, and Devin Petersohn, Machine Learning Engineer at Intel, dive into the challenges and considerations of dataframe scaling. They explore how the Intel Modin / OmniSci solution, part of the Intel AI Analytics Toolkit, offers an open road to quick, transparent scaling across heterogeneous architectures. They also explain how this solution’s integration with the rest of the Python ecosystem enables data scientists to focus on extracting value from data rather than provisioning and orchestrating resources. Guests: Alex Baden, Technical Director, OmniSci Devin Petersohn, Machine Learning Engineer, Intel To learn more: Intel AI Analytics Toolkit (Beta) Installing Intel AI Analytics Toolkit (Beta) Modin Repo Modin Discourse OmniSciDB OmniSciDB Repo oneAPI
23 minutes | 3 months ago
Pushing the Boundaries of What’s Possible
To deliver increasingly captivating stories in the world of animated movies takes passion and determination. The passion to continually push the boundaries of what’s possible. The determination to continually seek ways to make technology easily approachable by artists, so that the artists can focus on what they’re best at—telling stories that capture our imaginations. Max Liani, Senior Lead Engineer of RenderMan at Pixar Animation Studios, and Alex Wells, Principal Engineer at Intel, talk about collaborating to push the boundaries of what’s possible at the intersection of technology and art, and the ramifications that pervade outside the realm of motion pictures. Guests: Max Liani, Senior Lead Engineer of RenderMan, Pixar Animation Studios Alex Wells, Principal Engineer, Intel To learn more: Supercharging Pixar’s RenderMan XPU with Intel AVX-512 (SIGGRAPH 2020) oneAPI Intel oneAPI Toolkits
25 minutes | 4 months ago
Understanding Our World through GROMACS (Part I of II)
In Part I of two episodes about GROMACS, one of the world’s most widely used open source molecular dynamics (MD) applications, Erik Lindahl, Biophysics Professor at Stockholm University & KTH Royal Institute of Technology, and Roland Schulz, Parallel Software Engineer at Intel, unpack the mysteries of MD. As Erik explains, MD helps us understand “everything from the proteins inside our bodies to the largest galaxies in the world.” Erik and Roland discuss MD simulation using GROMACS, the immense benefits and challenges it brings, its role in the fight against our global pandemic, and some of the most promising developments. They also explore the significance of the Folding@home project as it relates to the world’s supercomputers and exascale computing. Guests: Erik Lindahl, Biophysics Professor, Stockholm University & KTH Royal Institute of Technology Roland Schulz, Parallel Software Engineer, Intel To learn more: gromacs.org gitlab.com/gromacs/gromacs twitter.com/GMX_TWEET foldingathome.org/home github.com/topics/sycl oneapi.com Read/Download the transcript.
30 minutes | 4 months ago
Let Us Entertain You
Krystian Ligenza, Autodesk Maya Software Architect, and Mike Voss, Intel Principal Engineer, talk about how the need for immersive experiences in VFX and 3D animated movies and games has driven the need for increasingly more capable (and complex) software and hardware. They discuss how Autodesk and Intel are addressing these challenges, and explain how the companies are collaborating to equip the most iconic animation studios and game developers with the tools needed to deliver ultra-realistic, award-winning entertainment experiences. Guests: Krystian Ligenza, Software Architect, Autodesk Mike Voss, Principal Engineer, Intel Learn more: oneAPI.com oneAPI Threading Building Blocks (on GitHub) Intel oneAPI Threading Building Blocks Autodesk 2020 Film and TV, VFX, Games, and Design Showreel Parallel Evaluation of Animated Maya Characters (SIGGRAPH 2017) Parallel Maya White Paper Read/Download the transcript.
21 minutes | 5 months ago
Is oneAPI living up to its promise? How do oneAPI and DPC++ relate to the Khronos Group SYCL and ISO C++ standards? Andrew Richards, Codeplay Software CEO, and Hal Finkel, Lead for Compiler Technology and Programming Languages at Argonne National Lab, respond to these provocative questions and more from Sanjiv Shah, Intel GM and VP of Developer Software Engineering. They share their experiences with oneAPI and DPC++, and talk about oneAPI’s best aspects and what they would like to change about this cross-architecture programming model. Listen in. To learn more: oneAPI.com Guests: Andrew Richards, CEO, Codeplay Software Hal Finkel, Lead for Compiler Technology and Programming Languages, Argonne National Lab Read/Download the transcript.
20 minutes | 5 months ago
Collaborating to Build a Heterogeneous Future
Ronan Keryell, principal software engineer at Xilinx, and Jeff Hammond, principal engineer at Intel, explain why open collaboration — modeled through open source and open standards — is key to solving some of today’s biggest challenges in research and industry, revealing some of the misconceptions, or least understood aspects, along the way. Then they explore the value of open languages and programming models, diving into ISO C++, Khronos Group SYCL, the amazing SYCL community, and what excites them most about the SYCL 2020 Provisional Specification. To learn more: Khronos Group SYCL oneAPI.com Read/Download the transcript.
20 minutes | 6 months ago
Bridging Performance Abstraction Layers in Data Science
Peter Wang, CEO and Co-Founder of Anaconda, explains the series of happy accidents that have led to organic adoption of Python as the number one language among developers in data science and machine learning in this episode of Code Together. He and David Liu, an AI Solutions Engineer at Intel, talk about the latest advancements in hardware and software and how to make them more accessible to developers, as well as how to bridge the multiple layers of abstraction. They also explore collaboration on building a low-power, high-performance data science stack, democratization of data literacy, and the future of Python in this action-packed discussion between two data science experts. To learn more: AI Analytics Toolkit Intel Distribution for Python Intel Scalable Dataframe Compiler Anaconda Read/Download the transcript.
15 minutes | 6 months ago
Porting Math Libraries Across Heterogeneous Architectures
Existing math kernel libraries have lacked portability across heterogeneous platforms—until now. A unifying programming model—and availability of standard library interfaces—enables development of performance-portable libraries among diverse hardware architectures. In this episode, Julia Sukharina, Senior Engineering Manager at Intel, and Mehdi Goli, Principal Software Engineer at Codeplay Software, talk about a collaborative project to make this portability possible, and Mehdi dives into his work to enable the first math library implementation for #oneAPI on Nvidia GPUs. Have a favorite library you want to enable, or want to contribute a proposal for a new math interface to drive standardization across multiple hardware? To get started, visit: github.com/oneAPI-SRC/oneMKL Read/Download the transcript.
15 minutes | 7 months ago
Sparking Innovation through Standards
In this episode of Code Together, Geoff Lowney, Senior Fellow at Intel, and Andrew Richards, CEO at Codeplay Software, discuss the value of standards in enabling hardware and software developers to collaborate and innovate. From the early days of video games to modern AI, Andrew weaves an unexpected yet common thread between these, and the two explore how oneAPI builds on this solid foundation. Andrew talks about Codeplay’s contributions to oneAPI, focused on enabling development using oneAPI on Nvidia GPUs, while Geoff shares his vision of enabling broad data parallelism and portability across platforms and provides a glimpse into what’s next for oneAPI. Join the conversation at: oneapi.com Read/Download the transcript.
21 minutes | 7 months ago
A Shift to Modern C++ Programming Models
In this episode of Code Together, we talk to Alice Chan, Vice President and General Manager of Compiler Engineering at Intel, and Hal Finkel, Lead for Compiler Technology and Programming Languages at Argonne National Lab, about how the industry is uniting to address the need for programming portability and performance across diverse architectures, particularly important with the rise of data-intensive workloads like artificial intelligence and machine learning. We discuss the important shift to modern C++ programming models, and how the cross-industry oneAPI initiative, and DPC++, bring much-needed portable performance to today’s developers. Join the conversation at: oneapi.com Read/Download the transcript.
Terms of Service
© Stitcher 2020