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GTC ON-DEMAND

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Abstract:

In pushing the limits of throughput of floating-point operations, GPUs have become a unique technology. During this session, we'll explore the current state of affairs from an application perspective. For this, we'll consider different computational science areas including fundamental research on matter, materials science, and brain research. Focusing on key application performance characteristics, we review current architectural and technology trends to derive an outlook towards future GPU-accelerated architectures.

In pushing the limits of throughput of floating-point operations, GPUs have become a unique technology. During this session, we'll explore the current state of affairs from an application perspective. For this, we'll consider different computational science areas including fundamental research on matter, materials science, and brain research. Focusing on key application performance characteristics, we review current architectural and technology trends to derive an outlook towards future GPU-accelerated architectures.

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Topics:
HPC and Supercomputing
Type:
Talk
Event:
GTC Europe
Year:
2018
Session ID:
E8108
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Abstract:

A key driver for pushing high-performance computing is the enablement of new research. One of the biggest and most exiting scientific challenge requiring high-performance computing is to decode the human brain. Many of the research topics in this field require scalable compute resources or the use of advance data analytics methods (including deep learning) for processing extreme scale data volumes. GPUs are a key enabling technology and we will thus focus on the opportunities for using these for computing, data analytics and visualisation. GPU-accelerated servers based on POWER processors are here of particular interest due to the tight integration of CPU and GPU using NVLink and the enhanced data transport capabilities.

A key driver for pushing high-performance computing is the enablement of new research. One of the biggest and most exiting scientific challenge requiring high-performance computing is to decode the human brain. Many of the research topics in this field require scalable compute resources or the use of advance data analytics methods (including deep learning) for processing extreme scale data volumes. GPUs are a key enabling technology and we will thus focus on the opportunities for using these for computing, data analytics and visualisation. GPU-accelerated servers based on POWER processors are here of particular interest due to the tight integration of CPU and GPU using NVLink and the enhanced data transport capabilities.

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Topics:
Accelerated Data Science, HPC and AI, HPC and Supercomputing
Type:
Talk
Event:
GTC Europe
Year:
2017
Session ID:
23189
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Abstract:
Understanding and modeling the human brain continues to be one of the biggest challenges of research. The Human Brain Project is a European flagship, which is in the process of creating a research infrastructure that will facilitate this research. Many research topics in this field require scalable compute resources or the ability to process extreme-scale data volumes (in some cases even both). Examples are approaches to simulate the network of a human brain in its full complexity and the efforts to create high-resolution brain atlases. GPUs play already today an important role to realize the necessary computational capabilities. We'll give an overview of the efforts of building an high-performance analytics and computing platform for brain research.
Understanding and modeling the human brain continues to be one of the biggest challenges of research. The Human Brain Project is a European flagship, which is in the process of creating a research infrastructure that will facilitate this research. Many research topics in this field require scalable compute resources or the ability to process extreme-scale data volumes (in some cases even both). Examples are approaches to simulate the network of a human brain in its full complexity and the efforts to create high-resolution brain atlases. GPUs play already today an important role to realize the necessary computational capabilities. We'll give an overview of the efforts of building an high-performance analytics and computing platform for brain research.  Back
 
Topics:
Big Data Analytics, Press-Suggested Sessions: HPC & Science, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6655
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Abstract:
While over the past years significant experience for using GPUs with processors based on the x86 ISA has been obtained, GPU-accelerated systems with POWER processors have become available only very recently. In this talk we report on early experiences of porting selected scientific applications to GPU-accelerated POWER8 systems. We will explore basic performance features through micro-benchmarks, but our main focus will be on results for full applications or mini-applications. These have been selected such that hardware characteristics can be explored for applications with significantly different performance signatures. The application domains range from physics to life sciences and have in common that they are in need of supercomputing resources.
While over the past years significant experience for using GPUs with processors based on the x86 ISA has been obtained, GPU-accelerated systems with POWER processors have become available only very recently. In this talk we report on early experiences of porting selected scientific applications to GPU-accelerated POWER8 systems. We will explore basic performance features through micro-benchmarks, but our main focus will be on results for full applications or mini-applications. These have been selected such that hardware characteristics can be explored for applications with significantly different performance signatures. The application domains range from physics to life sciences and have in common that they are in need of supercomputing resources.  Back
 
Topics:
OpenPOWER, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5683
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Abstract:

In 2012 the NVIDIA Application Lab at Jülich has been established to work with application developers on GPU enablement. In this talk we will tour through a variety of applications and evaluate opportunities of new GPU architectures and GPU-accelerated HPC systems, in particular for data-intensive applications.

In 2012 the NVIDIA Application Lab at Jülich has been established to work with application developers on GPU enablement. In this talk we will tour through a variety of applications and evaluate opportunities of new GPU architectures and GPU-accelerated HPC systems, in particular for data-intensive applications.

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Topics:
HPC and Supercomputing
Type:
Talk
Event:
Supercomputing
Year:
2013
Session ID:
SC3134
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Abstract:

The NVIDIA Application Lab at Julich, established by JSC and NVIDIA in June 2012, aims on enabling scientific applications for GPU-based architectures. Selected applications and their performance characteristics will be presented. Strategies for multi-GPU parallelizations (necessary to meet computing demands) will be discussed.

The NVIDIA Application Lab at Julich, established by JSC and NVIDIA in June 2012, aims on enabling scientific applications for GPU-based architectures. Selected applications and their performance characteristics will be presented. Strategies for multi-GPU parallelizations (necessary to meet computing demands) will be discussed.

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Topics:
Application Design & Porting Techniques
Type:
Talk
Event:
Supercomputing
Year:
2012
Session ID:
SC2007
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