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GTC ON-DEMAND

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Abstract:
Learn how we used NVIDIA's Nsight tool suite to help focus the development effort and optimize NAMD, which is being rewritten to vastly increase its utilization of GPUs. We'll explain how sophisticated tools like NVIDIA's Nsight Systems and Nsight Compute help determine if an application is using compute resources efficiently and whether your GPUs are starving for work or completely overwhelmed. We'll discuss how the NAMD development team at the University of Illinois at Urbana-Champaign is using Nsight tools to solve real-life performance bugs and bottlenecks, such as streamlining host-to-GPU transfers and optimizing NAMD kernels. We'll also cover how we used a new direct data access API to develop a custom tool that parses Nsight Systems data to quickly find and debug performance outliers.
Learn how we used NVIDIA's Nsight tool suite to help focus the development effort and optimize NAMD, which is being rewritten to vastly increase its utilization of GPUs. We'll explain how sophisticated tools like NVIDIA's Nsight Systems and Nsight Compute help determine if an application is using compute resources efficiently and whether your GPUs are starving for work or completely overwhelmed. We'll discuss how the NAMD development team at the University of Illinois at Urbana-Champaign is using Nsight tools to solve real-life performance bugs and bottlenecks, such as streamlining host-to-GPU transfers and optimizing NAMD kernels. We'll also cover how we used a new direct data access API to develop a custom tool that parses Nsight Systems data to quickly find and debug performance outliers.  Back
 
Topics:
Tools & Libraries, Performance Optimization, Computational Biology & Chemistry
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9503
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Abstract:
Are you readying your application for dense multi-GPU compute hardware like the NVIDIA DGX or ORNL Summit? Are you sure your CPUs and GPUs are all working to their capabilities? Are you looking for a tool to squeeze out that last bit of performance? Come and learn how the new NVIDIA Nsight Systems can help you maximize the performance of your simulation and visualization applications on GPU-accelerated clusters. Learn suggested techniques and best practices for optimizing HPC workloads. NVIDIA engineers and the developers of molecular modeling tools at University of Illinois will share their experiences using the NVIDIA Nsight Systems to analyze and optimize several of their HPC applications, including NAMD, VMD, and Lattice Microbes. The session will highlight several intermediate and advanced profiling techniques and will demonstrate how incorporation of NVTX profiling hooks into the application can help focus profiling activity and improve clarity of profiling results in complex HPC apps.
Are you readying your application for dense multi-GPU compute hardware like the NVIDIA DGX or ORNL Summit? Are you sure your CPUs and GPUs are all working to their capabilities? Are you looking for a tool to squeeze out that last bit of performance? Come and learn how the new NVIDIA Nsight Systems can help you maximize the performance of your simulation and visualization applications on GPU-accelerated clusters. Learn suggested techniques and best practices for optimizing HPC workloads. NVIDIA engineers and the developers of molecular modeling tools at University of Illinois will share their experiences using the NVIDIA Nsight Systems to analyze and optimize several of their HPC applications, including NAMD, VMD, and Lattice Microbes. The session will highlight several intermediate and advanced profiling techniques and will demonstrate how incorporation of NVTX profiling hooks into the application can help focus profiling activity and improve clarity of profiling results in complex HPC apps.  Back
 
Topics:
Performance Optimization, Tools & Libraries, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8718
Streaming:
Download:
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