This article discusses the capabilities of state-of-the art GPU-based high-throughput computing systems and considers the challenges to scaling single-chip parallel-computing systems, highlighting high-impact areas that the computing research community can address. Nvidia Research is investigating an archi...
Morgan Kaufmann
2011. GPUs and the Future of Parallel Computing. IEEE Micro 31, 5 (Sept. 2011), 7–17. https://doi.org/10.1109/MM.2011.89 [33] Jungwon Kim, Honggyu Kim, Joo Hwan Lee, and Jaejin Lee. 2011. Achieving a Single Compute Device Image in OpenCL for Multiple GPUs. In Proceedings of ...
Speeding Up Algorithms: When Parallel Computing and GPUs Do and Don't Accelerate Michael Weidman, Quantitative Support Services Aly Kassam, Quantitative Support Services Most of us have multiple cores as well as a graphics processing unit (GPU) in our desktop computer, with grids a...
NVIDIA‘s (NASDAQ:NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU...
High-Performance Computing Intelligent Video Analytics - Metropolis Logistics and Route Optimization - cuOpt Metaverse Applications - Omniverse Recommender Systems - Merlin Robotics - Isaac Speech AI - Riva Telecommunications - Aerial Top SDKs and Libraries Parallel Programming - CUDA Toolkit ...
GPUs support high throughput, parallel processing performance, and high memory bandwidth and becomes the most popularly adopted device for deep learning. As a matter of fact, many deep learning workloads from mobile devices to data centers are performed by GPUs. In particular, modern GPU systems ...
The scope of this study is limited to NVIDIA GPUs. NVIDIA is the leading GPU vendor and also pioneered better support for general-purpose computing on GPUs. Their solution, called CUDA, allows programming NVIDIA GPUs using an extension of C language unburdened by graphics semantics. We use CUDA...
a gpu, or graphics processing unit, is a specialized chip designed to handle intensive graphical calculations. traditionally, gpus have been the workhorses of the gaming world, rendering smooth and intricate visuals. however, their parallel processing power makes them ideal for other computationally ...
Chapter 44, "A GPU Framework for Solving Systems of Linear Equations," discusses the efficient representation of vectors and matrices and how to use this representation to rapidly solve linear partial differential equations. These computations perform well on GPUs because they are hi...