NOVEMBER 13-18 | DALLAS, TX

SambaNova at SC22

Connect with SambaNova’s supercomputing
experts at SC22

Find us at Booth #3042, or schedule a meeting to discuss how SambaNova is using foundation models to take on some of the biggest challenges in supercomputing to date.

Kunle OlukutonCo-founder and
Chief Technologist
Marshall ChoySVP of Product
Jennifer GloreVP of Customer Engineering
Petro Junior MilanSr. Software Engineer

Sessions schedule

Attend scheduled SambaNova and partner sessions. Click the schedule to add to your calendar.

09:00AMWorkshop: A comprehensive evaluation of novel AI accelerators for deep learning workloads

Join Argonne National Laboratory (ANL) presenting a first-of-a-kind evaluation of emerging novel hardware accelerators with a diverse set of workloads, such as deep learning (DL) primitives, benchmark models, and scientific machine learning applications. They also evaluate the performance of collective communication, which is key for distributed DL implementation, along with a study of scaling efficiency. We then discuss key insights, challenges, and opportunities in integrating these novel AI accelerators in supercomputing systems.

Co-Authors: Jian Zhang, Director of Machine Learning, Rick Weisner, Customer Engineer, Yongning Sheng, Architect, and Yun Du, Engineering Manager, SambaNova Systems.

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01:30PMTutorial: Programming new AI accelerators for scientific computing

Join a panel of experts, including SambaNova’s own Petro Junior Milan, as they explore the landscape of AI technologies and how you can use them to scale your own AI implementations.

In this tutorial, we will present an overview of novel AI accelerators. This includes presentations on hardware and software features on each system. We present steps on how to program these systems by porting deep learning models in standard DL framework implementations, compiling and running on the accelerator hardware. The tutorial will provide attendees with an understanding of the key capabilities of emerging AI accelerators and their performance implications for scientific applications.

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11:00AMWhat kind of AI do you want to build

Field CTO for AI & Emerging Technologies of VAST Data, Rupert Menezes, will discuss what kind of AI do you want to build.

SambaNova theater, Booth 3042
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11:30AM 5123 and beyond – breaking barriers in 3D true resolution imaging

SambaNova’s Customer Engineer, Cody MacDonald, will be speaking on 5123 and beyond – breaking barriers in 3D true resolution imaging.   

SambaNova theater, Booth 3042
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01:00PMHow foundation models and Dataflow architecture are advancing scientific discoveries

SambaNova’s SVP of Product, Marshall Choy, will discuss how foundation models and Dataflow architecture are advancing scientific discoveries.

SambaNova theater, Booth 3042
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02:00PMDDN and SambaNova Systems collaboration

Join DDN and SambaNova as we discuss our collaboration.

SambaNova theater, Booth 3042
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02:30PMAccelerating selected DOE machine learning workloads on SambaNova

Researcher Siva Rajamanickam at Sandia National Laboratory will discuss the acceleration of selected DOE machine learning workloads on SambaNova.

SambaNova theater, Booth 3042
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04:00PMDataflow – A deep dive into the architecture that is powering the next wave of scientific advances

SambaNova’s VP of Customer Engineering, Jennifer Glore, will be sharing a deep dive into the Dataflow architecture that is powering the next wave of scientific advances.

SambaNova theater, Booth 3042
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05:00PM5123 and beyond – breaking barriers in 3D true resolution imaging

SambaNova’s Customer Engineer, Cody MacDonald, will be speaking on 5123 and beyond – breaking barriers in 3D true resolution imaging.

SambaNova theater, Booth 3042
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10:30AMAI frameworks that support healthcare use cases & software optimized hardware

Boston Medical’s Senior Technologist, Andrew Addison will discuss the AI frameworks that support healthcare use cases & software optimized hardware.

SambaNova theater, Booth 3042
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12:00PM5123 and beyond – breaking barriers in 3D true resolution imaging

SambaNova’s Customer Engineer, Cody MacDonald will be speaking on 5123 and beyond – breaking barriers in 3D true resolution imaging.

SambaNova theater, Booth 3042
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01:00PMDataflow – A deep dive into the architecture that is powering the next wave of scientific advances

SambaNova’s VP of Customer Engineering, Jennifer Glore, will be sharing a deep dive into the Dataflow architecture that is powering the next wave of scientific advances.

SambaNova theater, Booth 3042
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01:30PMDDN and SambaNova collaboration

Join DDN and SambaNova as we discuss our collaboration.

SambaNova theater, Booth 3042
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03:00PMHow deep learning is accelerating scientific discoveries – A practitioners perspective: Argonne National Laboratory

Argonne National Laboratory’s Data Sciences Team Lead, Venkatram Vishwanath, will be sharing a practitioners perspective on how deep learning is accelerating scientific discoveries

SambaNova theater, Booth 3042
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03:30PMHow foundation models and Dataflow architecture are advancing scientific discoveries

SambaNova’s SVP of Product, Marshall Choy, will discuss how foundation models and Dataflow architecture are advancing scientific discoveries.

SambaNova theater, Booth 3042
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04:30PM5123  and beyond – breaking barriers in 3D true resolution imaging

SambaNova’s Customer Engineer, Cody MacDonald, will be speaking on 5123 and beyond – breaking barriers in 3D true resolution imaging.

SambaNova theater, Booth 3042
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10:30AMDataflow – A deep dive into the architecture that is powering the next wave of scientific advances SambaNova’s VP of Customer Engineering, Jennifer Glore, will be sharing a deep dive into the Dataflow architecture that is powering the next wave of scienctific advances. SambaNova theater, Booth 3042
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12:00PM5123 and beyond – breaking barriers in 3D true resolution imaging SambaNova’s Customer Engineer, Cody MacDonald will be speaking on 5123 and beyond – breaking barriers in 3D true resolution imaging. SambaNova theater, Booth 3042
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12:15PMBirds of a Feather: Transformers at Scale for Science Transformers and other large language models have shown impressive capabilities as ‘foundation’ models for domains such as natural language processing and computer vision. Requiring huge amounts of scalable compute, self-supervised training on large datasets is leveraged to develop models applicable to a variety of specialized tasks. In this session, presenters and attendees have the opportunity to discuss new algorithms, software, or hardware for training Transformers on large domain science datasets and novel ideas for applying Transformers in this space. Learn More
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A new era of scientific research and discovery

Foundation models and deep learning are enabling research organizations to achieve new and exciting discoveries across numerous areas of research including high resolution 3D image analysis, large language models for science, and multi-physics simulation workloads.

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