A new technique to improve memory access on matrix-vector multiplication used by SLEs on GPUs is described and compared to standard implementations for CPU and ...
Abstract—GPUs (Graphics Processing Units) have become one of the main co-processors that contributed to desktops towards high performance computing.
Jan 18, 2016 · We present a comparison of iterative SLE (Systems of Linear Equations) solvers, used in many scientific and engineering applications, over a ...
Iterative SLE Solvers over a CPU-GPU Platform ; 2010 12th IEEE International Conference on High Performance Computing and Communications (HPCC) · Piscataway, NJ.
Iterative SLE Solvers over a CPU-GPU Platform ; Fluid Simulation for Computer Graphics. Bridson R. · 2018 ; Templates for the solution of linear systems: building ...
People also ask
What is the difference between CPU and GPU optimization?
CPUs are suitable for tasks that require sequential processing or a wide range of functions, while GPUs excel in parallel processing tasks and handling massive amounts of data simultaneously. Specific applications. Determine the specific applications you will be running.
Why use CPU over GPU?
Flexibility—a CPU is a general-purpose processor that can handle many tasks, and multitask between multiple activities. Faster in many contexts—CPUs are faster than GPUs when handling operations like data processing in RAM, I/O operations, and operating system administration.
What is the CPU GPU system as an accelerated computational platform?
The GPU enhances application performance on the CPU by offloading some of the portions of the code which are time-consuming and require plenty of computing, while the rest of the application still runs on the CPU.
How does the GPU assist the CPU?
The CPU handles all the tasks required for all software on the server to run correctly. A GPU, on the other hand, supports the CPU to perform concurrent calculations. A GPU can complete simple and repetitive tasks much faster because it can break the task down into smaller components and finish them in parallel.
Feb 19, 2010 · I am currently trying to develop a fluid simulation program on the GPU. The simulation is very iterative for mass convergence and within that mass convergence ...
Missing: SLE Platform
We have previously presented an approach to include graphics processing units as co-processors in a parallel Finite Element multigrid solver called FEAST.
White paper describing how to use the cuSPARSE and cuBLAS libraries to achieve a 2x speedup over CPU in the incomplete-LU and Cholesky preconditioned iterative ...
Jan 26, 2024 · Abstract. Linear solvers are major computational bottlenecks in a wide range of decision support and optimization computa-.
Iterative SLE solvers over a CPU-GPU platform. In Int. Conf. on. High Performance Computing and Communications. 305–313. Alecio PD Binotto, Carlos E Pereira ...