What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Parallel computing
His main research concerns Parallel computing, Graphics, CUDA, Graphics hardware and Memory bandwidth.
His work deals with themes such as Sorting, Central processing unit and Database, which intersect with Parallel computing.
Naga K. Govindaraju combines subjects such as Programming paradigm and SIMD with his study of Graphics.
His study focuses on the intersection of CUDA and fields such as High memory with connections in the field of Hash function, Relational database, Joins and Out-of-core algorithm.
His Graphics hardware research integrates issues from Collision detection, Precomputation and Real-time rendering.
His Memory bandwidth study combines topics in areas such as Data parallelism and Multi-core processor.
His most cited work include:
- A Survey of General-Purpose Computation on Graphics Hardware (1880 citations)
- Mars: a MapReduce framework on graphics processors (678 citations)
- GPUTeraSort: high performance graphics co-processor sorting for large database management (406 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Graphics, Parallel computing, Computer graphics, Graphics hardware and Collision detection.
A large part of his Graphics studies is devoted to General-purpose computing on graphics processing units.
He has researched General-purpose computing on graphics processing units in several fields, including Field and Software.
His Parallel computing study integrates concerns from other disciplines, such as Sorting and Central processing unit.
His Computer graphics research is multidisciplinary, incorporating elements of Computer vision, Computational science and Artificial intelligence.
His Collision detection research is multidisciplinary, relying on both Chromatic scale, Precomputation, Computer graphics and Algorithm.
He most often published in these fields:
- Graphics (40.70%)
- Parallel computing (36.05%)
- Computer graphics (29.07%)
What were the highlights of his more recent work (between 2009-2021)?
- Computer graphics (29.07%)
- Operating system (4.65%)
- Virtual machine (5.81%)
In recent papers he was focusing on the following fields of study:
Naga K. Govindaraju spends much of his time researching Computer graphics, Operating system, Virtual machine, Brush and Graphics.
Naga K. Govindaraju studies Graphics hardware which is a part of Computer graphics.
His work on Reboot, Volume and Computer data storage as part of general Operating system research is often related to Logical disk, thus linking different fields of science.
His Parallel rendering study in the realm of Graphics interacts with subjects such as Occlusion.
His research in Kernel intersects with topics in CUDA and Parallel computing.
His Parallel computing study incorporates themes from Data stream mining, Overhead and Sorting algorithm.
Between 2009 and 2021, his most popular works were:
- Mars: Accelerating MapReduce with Graphics Processors (139 citations)
- Precomputed wave simulation for real-time sound propagation of dynamic sources in complex scenes (76 citations)
- Auto-tuning of fast fourier transform on graphics processors (58 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Artificial intelligence
Naga K. Govindaraju focuses on Parallel computing, CUDA, Memory bandwidth, Popular media and Brush.
His work on Graphics processing unit as part of general Parallel computing study is frequently connected to Texture memory, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
The concepts of his CUDA study are interwoven with issues in Fast Fourier transform, Computation, Kernel and Graphics.
His studies deal with areas such as Coprocessor, Multi-core processor, Speedup and Runtime system as well as Memory bandwidth.
His Popular media research incorporates elements of Digital painting, Oil paint, Oil painting and Computer graphics.
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