ThunderSoft has been working on AI for recent years. This presentation will share some results of AI work. First of all, give a general introduction about the current status of AI. For the current messy AI market, whatever AI chip, algorithm, framework or application, what challenges are we facing? Then introduce what kind of services and solutions we can provide for resolving some real issues such as defects inspection in industrial and meanwhile, show the architecture of our AI system. Finally, give some use cases for your reference which focus on some details about three products(Thunder Visual Inspection, Face SDK, and AI Kit) which are based on ML/DL technology. For Thunder Visual Inspection, will give a solution to resolve visual inspection issues through combining deep learning, image processing, even if other computer vision related technologies together. For face SDK, will show the software architecture and interfaces. This part will take a deep dive into how to build face SDK and implement the integration of algorithms and AI models on top of some existed AI Engine(SNPE, Tensorflow Lite etc.). AI development Kit based on Qualcomm SDM845 is extremely powerful for AI development. In this part, hardware specification and software capability will be listed.
YVR18-334: AI Alive: On Device and In-App
LVC20-303 State of Big Data and Data Science on ARMFriday, September 25, 2020
From being called the 'new gold / oil', Big data technologies from its peak hype cycle have now matured as quintessential technology that powers many of today’s businesses and enterprises. Most companies have changed themselves from being data-generating to data-powered, making use of actionable data and business insights. Big data is not just one piece of technology (Hadoop or Spark), rather it is a huge ecosystem, an assembly line of technologies and processes. There has been an increase in focus on data science and machine learning as a logical next step of evolution of Big Data. Data Strategy governs the quality of the data which acts as a precursor to data science and machine learning.
In this talk, we will look at where ARM stands in regards to having big data systems running in production. We will look at various achievements in the last few years and also understand where we stand currently in the process of making ARM as the first class citizen. We will also cover some of the pain points we have faced and what is important to work on in the near future and beyond.
Please join if you would like to know the status of Linaro’s BDDS team and its roadmap.
BKK19-218 - Vanguard Astra - Petascale ARM Platform for U.S. DOE/ASC SupercomputingTuesday, April 16, 2019
The Vanguard program looks to expand the potential technology choices for leadership class High Performance Computing (HPC) platforms, not only for the National Nuclear Security Administration (NNSA) and the Department of Energy (DOE), but also for the wider HPC community. Specifically, there is a need to expand the supercomputing ecosystem by investing and developing emerging, yet-to-be-proven technologies and address both hardware and software challenges together and prove-out the viability of such novel platforms for production workloads.
The first deployment of Vanguard is Astra, a prototype Petascale ARM supercomputer sited at Sandia National Laboratories. This talk will focus on the architectural details of Astra, as well as the Advanced Tri-Lab Software Environment (ATSE) and significant investments being made towards the ARM software ecosystem. Furthermore, we will share initial performance results, first experiences, and outlay several planned research activities.
SFO15-411: Energy Aware Scheduling: Power vs. Performance policy - Part 2Tuesday, November 3, 2015
SFO15-411: Energy Aware Scheduling: Power vs. Performance policy Speaker: Vincent Guittot, Juri Lellli Date: September 24, 2015 ★ Session Description ★ Share the impact of various patchsets, tunables, explore ideas...
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