المؤتمر السعودي الثاني عشر للحوسبة عالية الأداء والذكاء الاصطناعي
شارك الحدث
صباحي
شهادات حضور
فعاليات مجانية
☆☆☆☆☆
عن الفعالية
يعتبر المؤتمر السعودي الثاني عشر للحوسبة عالية الأداء والذكاء الاصطناعي، والذي ستستضيفه جامعة الملك خالد ممثلة في كلية علوم الحاسب لهذا العام 2024 نقطة تحول مهمة في عالم التقنية والابتكار. حيث سيركز هذا الحدث النوعي على استقطاب خبراء ومتخصصين من مختلف أنحاء العالم في مجال الحوسبة والذكاء الاصطناعي، مما يعزز من أهميته كمنصة لتبادل الأفكار والخبرات في مجالي الحوسبة عالية الأداء والذكاء الاصطناعي.
علاوة على ذلك، يركز المؤتمر هذا العام على توظيف الحوسبة عالية الأداء والذكاء الاصطناعي في مواجهة تحديات المناخ والموارد الطبيعية والزراعة، مما يبرز الدور الحيوي لهذه التقنيات في التصدي للتحديات العالمية. هذا التركيز يوفر فرصة فريدة للمهنيين والعلماء لاستكشاف حلول مبتكرة لقضايا مثل تغير المناخ وإدارة الموارد الطبيعية.
بالإضافة إلى ذلك، يعد المؤتمر محفزًا للابتكار والتقدم التقني. حيث يجمع متخصصين من مختلف المجالات، من باحثين وقادة صناعة ومحبي التقنية. هذا التجمع يعزز بيئة التعاون ويسهم في تطوير مجالات الحوسبة عالية الأداء والذكاء الاصطناعي، خاصةً في مواجهة التحديات البيئية والزراعية.
في الختام، يعد المؤتمر السعودي للحوسبة عالية الأداء والذكاء الاصطناعي 2024 أكثر من مجرد حدث علمي. إنه يعتبر نقطة تحول في مجال التقنية والابتكار. مع تركيزه على تطبيقات هذه التقنيات في حل المشكلات العالمية. يعتبر هذا المؤتمر فرصة لا تفوت لكل من يهتم بمستقبل الحوسبة عالية الأداء والذكاء الاصطناعي. ودورهما في خلق مستقبل مستدام ومتقدم تقنيًا.
مركز المعارض والمؤتمرات بجامعة الملك خالد - المدينة الجامعية بالقرعاء
HPC in the Cloud: Unleash Exascale Power & Future-Proof Your Work
11:00 ص - 11:30 ص
Abstract: Methods in Machine and Deep Learning are being investigated to either augment or replace traditional simulation. Contemporary trends in hardware and software have enabled convergence of HPC and AI. In this workshop we survey these trends and explore what is available on system level and in software to ease the transition to developing data science workloads. The talks include a walk through the current hardware and system resources available to accelerate the Data Science workflows. It is followed by the cataloging of software tools and frameworks available to develop ML/DL models, accelerate their training process and handle the associated...
شروط التسجيل: -
المتحدث الرسمي
Dr. Saber Feki
Dr. Saber Feki leads the computational and data science and engineering at the KAUST Supercomputing Core Laboratory, providing support, training, advanced services and research collaborations with users of the leadership supercomputer Shaheen III and a heterogeneous cluster “Ibex” with over 600 GPUs. Saber is passionate about technology, and enjoys working with users and technology vendors to plan and execute refreshes to KAUST HPC and AI infrastructure with the latest hardware and software technologies. He is leveraging his expertise to support and consult for several similar deployments for local and regional. Saber received his MSc and Ph.D. degrees in computer science from the University of Houston in 2008 and 2010, respectively. He then joined the oil and gas company TOTAL Energies in 2011 as an HPC Research Scientist and has been working at KAUST since 2012.
وصف الموقع
مركز المعارض والمؤتمرات بجامعة الملك خالد - المدينة الجامعية بالقرعاء
Unveiling the Power of Supercomputing
9:40 ص - 10:20 ص
High-Performance Computing (HPC) has become a cornerstone of innovation across various scientific and industrial domains. This workshop offers a comprehensive introduction to HPC, highlighting its significance in solving complex computational problems that are beyond the reach of standard computing systems. We will explore the critical role HPC plays in advancing research and development, providing an overview of the hardware architectures, software frameworks, and operational strategies that drive modern supercomputing environments. Participants will gain insights into the essential components of HPC clusters and applications, setting the stage for a deeper understanding of this powerful technology
شروط التسجيل: -
المتحدث الرسمي
Mr. Amr Mohamed Nasr Eldin
Principal HPC Software Engineer, BrightSkies Amr Elsayed is the team Lead for the Advanced Computing and AI team under the HPC department at Brightskies. With a solid foundation in computer engineering from Alexandria University, Amr has cultivated extensive expertise in high-performance computing and artificial intelligence over 6 years. Throughout his career, Amr has led his team in pioneering HPC and AI projects, achieving significant milestones in fields such as healthcare and industrial applications. His leadership has driven the successful deployment of advanced AI solutions, including general solutions, segmentation solutions, chatbot and generative AI systems tailored to various industries. Amr’s work and experience is deeply rooted in software consultancy, where he has provided critical support across diverse hardware platforms for various HPC applications, particularly in sectors like oil and gas. His contributions have consistently enhanced the efficiency and performance of complex workflows, underscoring his commitment to innovation and excellence in HPC and AI.
وصف الموقع
مركز المعارض والمؤتمرات بجامعة الملك خالد - المدينة الجامعية بالقرعاء
Harnessing the Power of Parallel Programming with OpenMP
10:50 ص - 11:50 ص
Parallel programming is a fundamental skill for leveraging the full potential of modern CPU architectures in High-Performance Computing (HPC). In this workshop, we delve into the basics of OpenMP, a widely adopted parallel programming model that simplifies the development of multi-threaded applications. Participants will learn about the importance of parallelism in HPC and how OpenMP can be utilized to optimize computational workloads. Through practical examples and hands-on sessions on our online platform CrackHPC, we will explore the core concepts of OpenMP, demonstrating its impact on performance and efficiency in real-world HPC applications.
شروط التسجيل: -
المتحدث الرسمي
Mr. Amr Mohamed Nasr Eldin
Principal HPC Software Engineer, BrightSkies Amr Elsayed is the team Lead for the Advanced Computing and AI team under the HPC department at Brightskies. With a solid foundation in computer engineering from Alexandria University, Amr has cultivated extensive expertise in high-performance computing and artificial intelligence over 6 years. Throughout his career, Amr has led his team in pioneering HPC and AI projects, achieving significant milestones in fields such as healthcare and industrial applications. His leadership has driven the successful deployment of advanced AI solutions, including general solutions, segmentation solutions, chatbot and generative AI systems tailored to various industries. Amr’s work and experience is deeply rooted in software consultancy, where he has provided critical support across diverse hardware platforms for various HPC applications, particularly in sectors like oil and gas. His contributions have consistently enhanced the efficiency and performance of complex workflows, underscoring his commitment to innovation and excellence in HPC and AI.
وصف الموقع
مركز المعارض والمؤتمرات بجامعة الملك خالد - المدينة الجامعية بالقرعاء
Hands on workshop on training a DL model in parallel
10:20 ص - 11:50 ص
In this hands-on session we will train a model on a given dataset and find good enough hyperparameters to improve its performance. As a next step participants will accelerate the pre-training of the model on a larger dataset to reduce the time to a good-enough fit.
شروط التسجيل: -
المتحدث الرسمي
Dr. Mohsin Ahmed Shaikh
Computational Scientist – KAUST Dr. Mohsin Ahmed Shaikh is a Computational Scientist at KAUST Supercomputing Lab (KSL). He has over 10 years of experience in designing, developing and supporting large scale HPC applications. He holds a PhD in Computational Bioengineering and a Post Doc, both from University of Canterbury, New Zealand. He worked previously at the Pawsey Supercomputing Centre as Supercomputing Applications Specialist before joining KAUST. As part of KSL’s Application Support team, he provides support to users of Shaheen Supercomputer and GPGPUs in Ibex cluster. His recent interests include compassable HPC infrastructure and workflows to accelerate ML/DL workloads on KAUST Supercomputing Lab resource and in cloud
وصف الموقع
مركز المعارض والمؤتمرات بجامعة الملك خالد - المدينة الجامعية بالقرعاء
Parallel and distributed ML/DL on HPC platforms
9:40 ص - 10:10 ص
Training ML and DL models can be a computationally expensive task to perform. If done repeatedly, it can slow down the overall scientific investigation. There exist a range of libraries today which can enable parallelism in training of ML/DL models. In this talk, we present a walkthrough of the life cycle of a typical ML/DL model development and survey the trends and techniques used to accelerating the model pre-training/finetuning on HPC resources.
شروط التسجيل: --
المتحدث الرسمي
Dr. Mohsin Ahmed Shaikh
Computational Scientist – KAUST Dr. Mohsin Ahmed Shaikh is a Computational Scientist at KAUST Supercomputing Lab (KSL). He has over 10 years of experience in designing, developing and supporting large scale HPC applications. He holds a PhD in Computational Bioengineering and a Post Doc, both from University of Canterbury, New Zealand. He worked previously at the Pawsey Supercomputing Centre as Supercomputing Applications Specialist before joining KAUST. As part of KSL’s Application Support team, he provides support to users of Shaheen Supercomputer and GPGPUs in Ibex cluster. His recent interests include compassable HPC infrastructure and workflows to accelerate ML/DL workloads on KAUST Supercomputing Lab resource and in cloud
وصف الموقع
مركز المعارض والمؤتمرات بجامعة الملك خالد - المدينة الجامعية بالقرعاء
Trends in HPC architecture enabling accelerated Data Science
9:00 ص - 9:40 ص
KAUST Supercomputing Lab supports a significant group of users using our machines for AI workloads. Based on our experience, we catalogue the current and future trends of hardware that primarily hosts Data Science workloads in present day. We survey the computer architectures designed to accelerate both HPC and ML/DL workloads and the interconnect requirements and available options to scale out these workloads. We also discuss the workload and data management characteristics for AI related workload and available options to run them with fairness in a multi-user environment. We then survey the solutions, either bespoke or turnkey, those are efficiently addressing...
شروط التسجيل: -
المتحدث الرسمي
Dr. Saber Feki
Senior Computational Scientist Lead – KAUST Dr. Saber Feki leads the computational and data science and engineering at the KAUST Supercomputing Core Laboratory, providing support, training, advanced services and research collaborations with users of the leadership supercomputer Shaheen III and a heterogeneous cluster “Ibex” with over 600 GPUs. Saber is passionate about technology, and enjoys working with users and technology vendors to plan and execute refreshes to KAUST HPC and AI infrastructure with the latest hardware and software technologies. He is leveraging his expertise to support and consult for several similar deployments for local and regional. Saber received his MSc and Ph.D. degrees in computer science from the University of Houston in 2008 and 2010, respectively. He then joined the oil and gas company TOTAL Energies in 2011 as an HPC Research Scientist and has been working at KAUST since 2012.
وصف الموقع
مركز المعارض والمؤتمرات بجامعة الملك خالد - المدينة الجامعية بالقرعاء
Deploying Deep learning models on NVIDIA Triton Inference Server
12:50 م - 1:50 م
Deploying AI models can often require advanced setups and custom wrappers, adding extra complexity and time to projects. NVIDIA’s Triton Inference Server simplifies this process by providing a unified, easy-to-use framework for deploying AI models. Triton supports all major backends, including PyTorch, TensorFlow, and TensorRT, and offers an out-of-the-box API endpoint. In this session, we’ll explore how to deploy a pre-trained DL model into Triton in two versions: Pytorch and TensorRT. We’ll also discuss strategies for optimizing resource utilization and demonstrate how Triton can be applied in real-world scenarios.
شروط التسجيل: -
وصف الموقع
مركز المعارض والمؤتمرات بجامعة الملك خالد - المدينة الجامعية بالقرعاء
Hands-on AI Tools and Techniques
12:50 م - 2:50 م
This workshop is designed to provide an integrated introduction to the realms of Machine Learning (ML) and Deep Learning (DL), two critical subsets of Artificial Intelligence (AI). Without delving into overwhelming technical complexities, attendees will gain a foundational understanding of machine learning and deep learning models. Utilizing the top-tier resources of the KAUST Visualization Core Lab, attendees will experience a mix of indepth lectures and hands-on sessions, ensuring a foundational grasp of the subject. This workshop is ideal for those looking to embark on a journey into AI, as well as for professionals seeking to enhance their knowledge in this...
شروط التسجيل: -
المتحدث الرسمي
Dr. Abdelghafour HALIMI
Facilities Director of Research Computing Core Labs – KAUST
المتحدث الرسمي
Dr. Didier Barradas BauCsta
Visualization Scientist– KAUST
المتحدث الرسمي
Dr. Sohaib Ghani
Lead Research Scientist – KAUST
وصف الموقع
مركز المعارض والمؤتمرات بجامعة الملك خالد - المدينة الجامعية بالقرعاء
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