Nvidia Corporation

Object Reservoir, Inc.

Frank Joseph Eaton

Leeann Chau Tuyet Dang

Keith Jason Kraus

Mark Jason Harris

Joshua Patterson

Allan Rabbitt Enemark

Bradley Stuart Rees

Michael Evan Wendt

Shirish C Gadre

Steven Ward

Ajay Sudarshan Tirumala

Stephen R Kennon

Maciej Piotr Tyrlik

Scott A Canann

Daniel Alan Stiffler

Various techniques for accelerating dynamic programming algorithms are provided. For example, a fused addition and comparison instruction, a three-operand comparison instruction, and a two-operand comparison instruction are used to accelerate a Needleman-Wunsch algorithm that determines an optimized global alignment of subsequences over two entire sequences. In another example, the fused addition and comparison instruction is used in an innermost loop of a Floyd-Warshall algorithm to reduce the number of instructions required to determine shortest paths between pairs of vertices in a graph. In another example, a two-way single instruction multiple data (SIMD) floating point variant of the three-operand comparison instruction is used to reduce the number of instructions required to determine the median of an array of floating point values.

Implementing specialized instructions for accelerating dynamic programming algorithms

Systems and methods are provided for efficiently performing processing intensive operations, such as those involving large volumes of data, that enable accelerated processing time of these operations. In at least one embodiment, a system includes a graphics processor unit (GPU) including a memory and a plurality of cores. The plurality of cores perform a plurality of data analytics operations on a respectively allocated portion of a dataset, each of the plurality of cores using only the memory to store data input for each of the plurality of data analytics operations performed by the plurality of cores. The data storage for the plurality of data analytics operations performed by the plurality of cores is also provided solely by the memory.

Graphics processing unit systems for performing data analytics operations in data science

A method and system for generating an unstructured automatic mesh and executing computational algorithms using a finite element numerical approach is disclosed. The method is to model a hydrocarbon reservoir, wells, and completions as a single system, accounting for static information and transient behavior of wells, hydraulic fractures and reservoirs in a single model.

Method and system for modeling and predicting hydraulic fracture performance in hydrocarbon reservoirs

Growing community of inventors

Austin, TX, United States of America

Frank Joseph Eaton