GTC ON-DEMAND

 
SEARCH SESSIONS
SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Presentation
Media
Abstract:
We'll present our API extensions for real-time ray tracing in the Vulkan API.
We'll present our API extensions for real-time ray tracing in the Vulkan API.  Back
 
Topics:
Rendering & Ray Tracing, Gaming and AI, Real-Time Graphics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9833
Streaming:
Download:
Share:
 
Abstract:
NVIDIAs RTX leverages 10+ years of research into accelerated ray tracing on GPUs. In this talk, well explore our API for exposing RTX through Vulkan. We will discuss how ray tracing fits in with a low-level rasterization API and cover some details on our Vulkan raytracing extension.
NVIDIAs RTX leverages 10+ years of research into accelerated ray tracing on GPUs. In this talk, well explore our API for exposing RTX through Vulkan. We will discuss how ray tracing fits in with a low-level rasterization API and cover some details on our Vulkan raytracing extension.  Back
 
Topics:
Rendering & Ray Tracing
Type:
Talk
Event:
SIGGRAPH
Year:
2018
Session ID:
SIG1808
Streaming:
Share:
 
Abstract:
NVIDIAs RTX leverages 10+ years of research into accelerated ray tracing on GPUs. In this talk, well explore our API for exposing RTX through Vulkan. We will discuss how ray tracing fits in with a low-level rasterization API and cover some details on our Vulkan raytracing extension.
NVIDIAs RTX leverages 10+ years of research into accelerated ray tracing on GPUs. In this talk, well explore our API for exposing RTX through Vulkan. We will discuss how ray tracing fits in with a low-level rasterization API and cover some details on our Vulkan raytracing extension.  Back
 
Topics:
Rendering & Ray Tracing
Type:
Talk
Event:
SIGGRAPH
Year:
2018
Session ID:
SIG1826
Streaming:
Share:
 
Abstract:
Lift is a thin abstraction layer that hides some of the complexity of parallel programming. It provides a set of primitives analogous to (and entirely compatible with) NVIDIA's Thrust library, but designed around drastically simpler code, suitable for inclusion in large, complex projects which target NVIDIA GPUs or Intel CPUs. Lift is an open-source project under active development at Genia. It is the foundation for our primary analysis pipeline for DNA sequencing, as well as the foundation for Firepony, an open-source base quality score recalibrator for DNA sequencing data. We'll cover the motivation for Lift and the applications we're developing it for, and then explain how it works, what problems it solves, and what lessons we learned from prior experience with similar libraries.
Lift is a thin abstraction layer that hides some of the complexity of parallel programming. It provides a set of primitives analogous to (and entirely compatible with) NVIDIA's Thrust library, but designed around drastically simpler code, suitable for inclusion in large, complex projects which target NVIDIA GPUs or Intel CPUs. Lift is an open-source project under active development at Genia. It is the foundation for our primary analysis pipeline for DNA sequencing, as well as the foundation for Firepony, an open-source base quality score recalibrator for DNA sequencing data. We'll cover the motivation for Lift and the applications we're developing it for, and then explain how it works, what problems it solves, and what lessons we learned from prior experience with similar libraries.  Back
 
Topics:
Computational Biology & Chemistry, Tools & Libraries
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6473
Streaming:
Download:
Share:
 
Abstract:
Base recalibration is a crucial step in data processing for DNA and RNA sequencing. Established in 2010 by our group in conjunction with the 1000 Genomes project, recalibrating the probability of error for each base in a genome based on counting observations and re-modeling the empirical error has proven to correctly down estimate the systematic errors made by the sequencing instrument allowing bayesian variant calling algorithms to make the most accurate choice. The task of counting observations in the entire genome is daunting and slow. In this talk we will show how we adapted the algorithm for GPU processing to improve the very long runtimes of this process and how the use of GPUs puts us one step closer to enable fast diagnostics of critical patients in need of a fast answer.
Base recalibration is a crucial step in data processing for DNA and RNA sequencing. Established in 2010 by our group in conjunction with the 1000 Genomes project, recalibrating the probability of error for each base in a genome based on counting observations and re-modeling the empirical error has proven to correctly down estimate the systematic errors made by the sequencing instrument allowing bayesian variant calling algorithms to make the most accurate choice. The task of counting observations in the entire genome is daunting and slow. In this talk we will show how we adapted the algorithm for GPU processing to improve the very long runtimes of this process and how the use of GPUs puts us one step closer to enable fast diagnostics of critical patients in need of a fast answer.  Back
 
Topics:
Life & Material Science, Big Data Analytics, Developer - Algorithms
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5579
Streaming:
Share:
 
Abstract:
Learn about NVIDIA's new open source CUDA/C++ library for high-performance computational genomics, NVBIO. NVBIO includes primitives for fast alignment using many variants of Smith-Waterman, text indexing via an FM-Index and related data structures, and approximate string matching with backtracking. It also provides basic services like file IO and inter-thread communication. The design of NVBIO supports pipeline parallelism, where computation is expressed as a sequence of stages with queues to communicate between stages. Using this design concept, we have engineered an implementation of the Bowtie2 aligner on top of NVBIO, which aligns short read data 2-7x faster than the original Bowtie2 running on a high-end multicore CPU at comparable quality. In this talk we will introduce the codebase and demonstrate how to use it for your own applications.
Learn about NVIDIA's new open source CUDA/C++ library for high-performance computational genomics, NVBIO. NVBIO includes primitives for fast alignment using many variants of Smith-Waterman, text indexing via an FM-Index and related data structures, and approximate string matching with backtracking. It also provides basic services like file IO and inter-thread communication. The design of NVBIO supports pipeline parallelism, where computation is expressed as a sequence of stages with queues to communicate between stages. Using this design concept, we have engineered an implementation of the Bowtie2 aligner on top of NVBIO, which aligns short read data 2-7x faster than the original Bowtie2 running on a high-end multicore CPU at comparable quality. In this talk we will introduce the codebase and demonstrate how to use it for your own applications.  Back
 
Topics:
Genomics & Bioinformatics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4741
Streaming:
Download:
Share:
 
 
Previous
  • Amazon Web Services
  • IBM
  • Cisco
  • Dell EMC
  • Hewlett Packard Enterprise
  • Inspur
  • Lenovo
  • SenseTime
  • Supermicro Computers
  • Synnex
  • Autodesk
  • HP
  • Linear Technology
  • MSI Computer Corp.
  • OPTIS
  • PNY
  • SK Hynix
  • vmware
  • Abaco Systems
  • Acceleware Ltd.
  • ASUSTeK COMPUTER INC
  • Cray Inc.
  • Exxact Corporation
  • Flanders - Belgium
  • Google Cloud
  • HTC VIVE
  • Liqid
  • MapD
  • Penguin Computing
  • SAP
  • Sugon
  • Twitter
Next