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Gpu-Accelerated Applications Gpu‑Accelerated Applications GPU-ACCELERATED APPLICATIONS GPU-ACCELERATED APPLICATIONS Accelerated computing has revolutionized a broad range of industries with over six hundred applications optimized for GPUs to help you accelerate your work. CONTENTS 1 Computational Finance 62 Research: Higher Education and Supercomputing NUMERICAL ANALYTICS 2 Climate, Weather and Ocean Modeling PHYSICS 2 Data Science and Analytics SCIENTIFIC VISUALIZATION 5 Artificial Intelligence 68 Safety and Security DEEP LEARNING AND MACHINE LEARNING 71 Tools and Management 13 Federal, Defense and Intelligence 79 Agriculture 14 Design for Manufacturing/Construction: 79 Business Process Optimization CAD/CAE/CAM CFD (MFG) CFD (RESEARCH DEVELOPMENTS) COMPUTATIONAL STRUCTURAL MECHANICS DESIGN AND VISUALIZATION ELECTRONIC DESIGN AUTOMATION INDUSTRIAL INSPECTION Test Drive the 29 Media and Entertainment ANIMATION, MODELING AND RENDERING World’s Fastest COLOR CORRECTION AND GRAIN MANAGEMENT COMPOSITING, FINISHING AND EFFECTS Accelerator – Free! (VIDEO) EDITING Take the GPU Test Drive, a free and (IMAGE & PHOTO) EDITING easy way to experience accelerated ENCODING AND DIGITAL DISTRIBUTION computing on GPUs. You can run ON-AIR GRAPHICS your own application or try one of ON-SET, REVIEW AND STEREO TOOLS the preloaded ones, all running on a WEATHER GRAPHICS remote cluster. Try it today. www.nvidia.com/gputestdrive 44 Medical Imaging 47 Oil and Gas 48 Life Sciences BIOINFORMATICS MICROSCOPY MOLECULAR DYNAMICS QUANTUM CHEMISTRY (MOLECULAR) VISUALIZATION AND DOCKING Computational Finance APPLICATION NAME COMPANYNAME PRODUCT DESCRIPTION SUPPORTED FEATURES GPU SCALING Accelerated Elsen Secure, accessible, and accelerated • Web-like API with Native bindings for Multi-GPU Computing Engine back-testing, scenario analysis, Python, R, Scala, C Single Node risk analytics and real-time trading • Custom models and data streams designed for easy integration and rapid development. Adaptiv Analytics SunGard A flexible and extensible engine for fast • Codes in C# supported transparently, Multi-GPU calculations of a wide variety of pricing with minimal code changes Single Node and risk measures on a broad range of • Supports multiple backends including asset classes and derivatives. CUDA and OpenCL • Switches transparently between multiple GPUs and CPUS depending on the deal support and load factors. Alea.cuBase F# QuantAleas F# package enabling a growing set of F# • F# for GPU accelerators Multi-GPU capability to run on a GPU. Single Node Esther Global Valuation In-memory risk analytics system for OTC • High quality models not admitting Multi-GPU portfolios with a particular focus on XVA closed form solutions Single Node metrics and balance sheet simulations. • Efficient solvers based on full matrix linear algebra powered by GPUs and Monte Carlo algorithms Global Risk MISYS Regulatory compliance and enterprise • Risk analytics Multi-GPU wide risk transparency package. Single Node Hybridizer C# Altimesh Multi-target C# framework for data • C# with translation to GPU Multi-GPU parallel computing. Single Node • Multi-Core Xeon MACS Analytics Murex Analytics library for modeling valuation • Market standard models for all asset Multi-GPU Library and risk for derivatives across multiple classes paired with the most efficient Single Node asset classes. resolution methods (Monte Carlo simulations and Partial Differential Equations) MiAccLib 2.0.1 Hanweck Accelerated libraries which encompasses • Text Processing: Exact Match, Multi-GPU Associates high speed multi-algorithm search Approximate\Similarity Text, Single Node engines, data security engine and Wild Card, MultiKeyword and also video analytics engines for text MultiColumnMultiKeyword, etc processing, encryption/decryption and • Data Security: Accelerated Encryption/ video surveillance. Description for AES-128 • Video Analytics: Accelerated Intrusion Detection Algorithm NAG Numerical Random number generators, Brownian • Monte Carlo and PDE solvers Single GPU Algorithms bridges, and PDE solvers Single Node Group Oneview Numerix Numerix introduced GPU support for • Equity/FX basket models with Multi-GPU Forward Monte Carlo simulation for BlackScholes/Local Vol models for Multi-Node Capital Markets and Insurance. individual equities and FX • Algorithms: AAD (Automatic Algebraic Differential) • New approaches to AAD to reduce time to market for fast Price Greeks and XVA Greeks O-Quant options O-Quant Offering for risk management and • Cloud-based interface to price complex Multi-GPU pricing complex options and derivatives pricing derivatives representing large baskets Multi-Node using GPUs. of equities Pathwise Aon Benfield Specialized platform for real-time • Spreadsheet-like modeling interfaces Multi-GPU hedging, valuation, pricing and risk Single Node • Python-based scripting environment management. • Grid middleware SciFinance SciComp, Inc Derivative pricing (SciFinance) • Monte Carlo and PDE pricing models Single GPU Single Node POPULAR GPU‑ACCELERATED APPLICATIONS CATALOG | SEP20 | 1 Synerscope Data Synerscope Visual big data exploration and insight • Graphical exploration of large network Single GPU Visualization tools datasets including geo-spatial and Single Node temporal components Volera Hanweck Real-time options analytical engine • Real-time analytics Multi-GPU Associates (Volera) Single Node Xcelerit SDK Xcelerit Software Development Kit (SDK) to boost • C++ programming language, cross- Multi-GPU the performance of Financial applications platform (back-end generates CUDA Single Node (e.g. Monte-Carlo, Finite-difference) with and optimized CPU code) minimum changes to existing code. • Supports Windows and Linux operating systems Climate, Weather and Ocean Modeling APPLICATION NAME COMPANYNAME PRODUCT DESCRIPTION SUPPORTED FEATURES GPU SCALING COSMO COSMO Regional numerical weather prediction • Radiation only in the trunk release Multi-GPU Consortium and climate research model Multi-Node • All features in the MCH branch used for operational weather forecasting E3SM-EAM US DOE Global atmospheric model used as • Dynamics and most physics Multi-GPU component to E3SM global coupled Multi-Node climate model. Gales KNMI, TU Delft Regional numerical weather prediction • Full Model Multi-GPU model Multi-Node GRAF IBM/TWC New GPU-based global weather model • Full application Multi-GPU based on MPAS from NCAR Multi-Node WRF AceCAST- TempoQuest Inc. WRF model from NCAR now • ARW dynamics Multi-GPU commercialized by TQI. Used for Multi-Node WRF • 19 physics options including enough to numerical weather prediction and regional run the full WRF model on GPUs climate studies. All popular aspects of WRF model are GPU developed. Data Science and Analytics APPLICATION NAME COMPANYNAME PRODUCT DESCRIPTION SUPPORTED FEATURES GPU SCALING Anaconda Anaconda The open-source Anaconda Distribution • Bindings to CUDA libraries: cuBLAS, Multi-GPU Distribution is the easiest way to perform Python/R cuFFT, cuSPARSE, cuRAND Multi-Node data science and machine learning on • Sorts algorithms from the CUB and Linux, Windows, and Mac OS X. With Modern GPU libraries over 11 million users worldwide, it is the industry standard for developing, testing, • Includes Numba (JIT Python compiler) and training on a single machine. and Dask (Python scheduler) • Includes single-line install of numerous DL frameworks such as Pytorch AnswerRocket AnswerRocket AnswerRocket leverages AI and machine • Pluggable machine learning models Multi-GPU learning techniques to automate the hard Multi-Node • Ask Questions in Plain English work of business analysis, empowering teams to generate business intelligence • Create Interactive Visualizations & and advanced analysis in seconds. Dashboards • Provides Augmented Analytics • Supports a wide variety of data sources ArgusSearch Planet AI Deep Learning driven document search • Fast full text search engine Multi-GPU tool. Single Node • Searches hand-written and text documents, including PDF • Allows almost any arbitrary requests (Regular Expressions are supported) • Provides a list of matches sorted by confidence 2 | POPULAR GPU‑ACCELERATED APPLICATIONS CATALOG | SEP20 Automatic Speech Capio In-house and Cloud-based speech • Real-time and offline (batch) speech Multi-GPU Recognition recognition technologies recognition Single Node • Exceptional accuracy for transcription of conversational speech • Continuous Learning (System becomes more accurate as more data is pushed to the platform) BlazingSQL BlazingSQL GPU-accelerated SQL Engine for • Distributed SQL Query Engine Multi-GPU analytics available on all major CSP and Multi-Node • Supports petabyte scale applications on-premise deployment. • Supports traditional big data formats and data stores BrytlytDB Brytlyt In-GPU-memory database built on top of • GPU-Accelerated joins, aggregations, Multi-GPU PostgreSQL scans, etc. on PostgreSQL Multi-Node • Visualization platform bundled with database is called SpotLyt. CuPy Preferred CuPy (https://github.com/cupy/cupy) is • CUDA Multi-GPU Networks a GPU-accelerated scientific computing Single Node • multi-GPU support library for Python with a NumPy compatible interface. Datalogue Datalogue AI powered pipelines that automatically • Data transformation Multi-GPU prepare any data from any source for Single Node • Ontology mapping immediate & compliant use. • Data standardization • Data augmentation DeepGram Deepgram Voice processing solution for call centers, • Speech to text and phonetic search Multi-GPU financials and other scenarios. using GPU deep learning Single Node
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