Check out these sessions at GTC 2019 for insights into the latest developments in the CUDA ecosystem.

1. CUDA SESSIONS YOU WON’T WANT TO MISS
AT GTC 2019

2. EXPECTED TO BE THE BIGGEST YET, NVIDIA’S GPU TECHNOLOGY
CONFERENCE (GTC) FEATURES HUNDREDS OF SESSIONS ON THE
MOST IMPORTANT TOPICS IN COMPUTING TODAY.

3. CHECK OUT THESE SESSIONS TO LEARN MORE ABOUT THE
LATEST DEVELOPMENTS IN THE CUDA ECOSYSTEM.

4. CUDA: NEW FEATURES AND BEYOND
CUDA is NVIDIA's parallel computing platform and
programming model. You'll learn about new programming
model enhancements and performance improvements in
the latest release of CUDA, preview upcoming GPU
programming technology, and gain insight into the
philosophy driving the development of CUDA and how it
will take advantage of current and future GPUs. You'll
also learn about NVIDIA's vision for CUDA and the
challenges for the future of parallel software
development.
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5. VOLTA & TURING:
ARCHITECTURE AND PERFORMANCE OPTIMIZATION
The presentation will go through NVIDIA's current GPU architectures, Volta and Turing, to allow
the developers understand both architectures and how to best optimize their code for them. This
is a follow-up of GTC'18 S81006 which covered Volta and CUDA optimization basics. This talk will
likely skip some of the basics already covered last year and should feature more advanced topics.
Full content to be defined.
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6. ACCELERATE YOUR CUDA DEVELOPMENT WITH LATEST
DEBUGGING AND CODE ANALYSIS DEVELOPER TOOLS
We will provide an overview of debugging and
performance analysis CUDA software tools that
would be required during any development
process. We'll talk about specific areas in the
development process that NVIDIA addresses to
ensure that a comprehensive set of development
tools are available to ensure completion of
software application development.
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7. NEW FFT LIBRARY WITH FLEXIBLE C++ API
We will introduce a new FFT library that extends and
complements cuFFT. This new library allows to go
beyond performance limits imposed by the current
cuFFT API. During our talk, we will walk through new
API concepts, showcase performance, and discuss
planned future developments. Specifically, the new
library aims to provide performance and flexibility
improvements by allowing the merging of FFT
calculations with other code at convenient levels of
abstraction.
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8. cuDF: RAPIDS GPU-ACCELERATED DATA FRAME
LIBRARY
Learn how NVIDIA and RAPIDS take advantage of GPU
acceleration by using libraries such as cuDF, cuIO, and
cuString. We'll show how RAPIDS uses GPUs to accelerate
existing workflows and enable workflows that were
previously impossible. We'll cover cuDF's high-level
architecture and its GPU use, and do a technical dive
into cuDF internals such as the cuIO and cuString
libraries. We'll also share testing and benchmarking
results and reveal some of the new features and
optimizations we're investigating for the future of
RAPIDS and cuDF.
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9. BRING STATE-OF-THE-ART GPU-ACCELERATED
MOLECULAR MODELING TOOLS TO THE RESEARCH
COMMUNITY
We'll showcase the latest successes with GPU acceleration of challenging molecular simulation
analysis tasks on the latest Volta and Turing GPUs paired with both Intel and IBM/OpenPOWER
CPUs on petascale computers such as ORNL Summit. This presentation will highlight the
performance benefits obtained from die-stacked memory, NVLink interconnects, and the use of
advanced features of CUDA such as just-in-time compilation to increase the performance of key
analysis algorithms.
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10. CUDA-ACCELERATED SHORT-READ ALIGNMENT TO A
LARGE REFERENCE GENOME
We'll discuss the computational challenge of
aligning short DNA reads to very large reference
genomes, a problem that tests the limits of
computing hardware. We'll explain how adapting
a CUDA-accelerated short-read aligner to handle
these genomes resulted in a tenfold reduction in
execution time.
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11. ASTROACCELERATE - GPU ENABLED SIGNAL
PROCESSING ON THE PATH TO THE SQUARE
KILOMETRE ARRAY
The Square Kilometre Array is a planned next-
generation radio telescope. This talk will introduce
SKA and the science it aims to achieve and discuss how
GPUs can be used to achieve this.
We'll discuss current advances in the AstroAccelerate
software package, which is GPU-Enabled and written in
CUDA. AstroAccelerate focuses on enabling real-time
processing of time-domain radio-astronomy data.
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12. AMBER18: AN ENHANCED MOLECULAR SIMULATIONS
PROGRAM FOR STUDYING BIOPOLYMERS AND
DISSECTING LIGAND BINDING ENERGIES
We'll discuss advanced implementations of molecular
dynamics for studying the motions of biochemical
systems and dissecting free energies in drug binding and
molecular recognition. Attendees should have basic
knowledge of CUDA. We'll focus on strategies for
parallelism based on the computer science of how
graphics cards operate. We'll also talk about the results
for applications in pharmaceutical and academic
computational biology.
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13. OPTIMIZING FACEBOOK AI WORKLOADS FOR
NVIDIA GPUS
We'll demonstrate the use of Nsight Systems to
quickly identify bottlenecks and achieve
significant speedups in production workflows at
Facebook. We'll also describe how we use the
CUPTI API for on-demand, customized timeline
analysis of workflows running in production and
collect detailed performance metrics across our
GPU fleet at very low overhead.
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14. EXPLORE THE FULL LIST
OF CUDA SESSIONS AND
REGISTER TODAY FOR GTC
LEARN MORE