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 specialized in parallelism to develop better quality parallel software in 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 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 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
Appentra BoF at SC19: Quality Assurance and Coding Standards for Parallel Software
Appentra will present a BoF session titled “Quality Assurance and [...]
Appentra at SC19 in Denver
Appentra will once again be participating in the International Conference for High Performance Computing, Networking, Storage, [...]
Appentra announces the Early Access Program for Parallelware Analyzer
Appentra strives to minimize and eventually remove the parallel software development barrier,[...]
Fixing defects in parallel code: an OpenMP example
Parallelware Analyzer provides a set of tools covering the most challenging steps of your parallel development workflow. Request [...]
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