Tag: multicore
A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark
We show the performance comparison supported by architecture characteristics narrowing the performance gain of GPUs
Hybrid computing: CPU+GPU co-processing and its application to tomographic reconstruction
This work presents a hybrid approach that collaboratively combines the GPUs and CPUs available in a computer and applies it to the problem of tomographic reconstruction
Multi-core and shared-memory parallel raycasting volume rendering optimization and tuning
The focus of this work is tuning the performance of a staple visualization algorithm, raycasting volume rendering, for shared-memory parallelism on multi-core CPUs and many-core GPUs.
TACC-Intel Highly Parallel Computing Symposium in Austin
The TACC-Intel Highly Parallel Computing Symposium will take place on April 10th and 11th 2012 at the Texas Advanced Computing Center (TACC) in Austin, TX.
Finite element assembly strategies on multi-core and many-core architectures
We have investigated the implementation space for parallel global assembly in the finite element method using a variety of GPU platforms and a more traditional CPU architecture.
A Framework for Automated Performance Tuning and Code Verification on GPU Computing Platforms
We are exploring a code compilation framework that automatically generates and tunes numerical solver codes for optimal performance on graphical processing units
Evaluation of the Energy Performance of Dense Linear Algebra Kernels on Multi-core and Many-Core Processors
The results of this study provide basic insights on the energy scalability of multi- and many-core designs and multi-threaded software as the building blocks of future EXAFLOPS systems
Erlang and CUDA: Concurrent and Fast
Erlang is ideal for writing robust highly concurrent applications which take full advantage of today’s multi-core computers. NVIDIA’s CUDA API is great for using GPUs to rip through large datasets at incredible speeds. What happens when you put these two together?
HPC GPU Meetup in Paris January 25th 2012
On January the 25th 2012, a Meetup of the HPC GPU supercomputing group is held in the Ecole des Mines de Paris. Par4All and HPC project will be present with a talk by Ronan Keryell on automatic paralleization of C and Fortran for multicores and GPU.
Trip over threads to trap multicore bugs with Maze
What makes debugging of multiprocess and multithread applications so difficult? The first thing that comes to mind of every concurrent programmer is the lack of program execution reproducibility. The reason for such program behavior is the preemptive scheduling employed by real-time operating systems.
