make code parallel
Faster development of better parallel software with Parallelware
Unlock the performance of modern heterogeneous hardware, no matter whether your code runs on a supercomputer, laptop or embedded device. Take advantage of Appentra’s unique technology for static code analysis specialising in concurrency and parallelism to develop better quality parallel software on less time.
Products
Learn parallel programming faster and at your own pace
Learn parallelization concepts and techniques guided by parallel patterns used in real software. Use our integrated learning environment to experiment with different technologies for parallel programming. Make expert decisions for the development of multicore and GPU-accelerated software.
Quality Assurance and development tools for concurrent and parallel code
Ensure the quality of your parallel code and speed up the development process to make the most out of modern heterogeneous hardware. Let Parallelware help you find software defects related to concurrency and parallelism. Identify the best opportunities for parallelization, and implement parallel versions of your code, optimized for your specific heterogeneous platform.
Industries
Oil and Gas
Molecular simulation
Astrophysics
Climate Modeling
Automotive
Wireless communication
Embedded vision
Ed Tech
Case Studies
Enabling fast user selection in 5G networks through a GPUenabled maxvol algorithm
King Abdullah University of Science and Technology (KAUST)
Parallelizing a shallow-water flow model with variable pressure
EDANYA. UNIVERSITY OF MALAGA.
Testimonials
News & Events
Enabling fast user selection in 5G networks through a GPU-enabled maxvol algorithm: case study
In March 2019, KAUST Supercomputing Core Laboratory (KSL) in collaboration with NVIDIA [...]
Appentra is finalist in the South Summit Startup Competition 2019
Appentra has been selected as a finalist for the South Summit Startup Competition. The 100 most promising startup finalists were selected from among the 3,700 international projects submitted for the Startup Competition. [...]
NERSC User News podcast’s interview on Parallelware Trainer
On the occasion of the workshop led by Appentra at NERSC in June, the NERSC User News podcast interviewed us about parallel programming learning tool, Parallelware Trainer. You can listen to it by clicking on the following podcast: [...]
