Codeplay Software Competitors, Revenue, Alternatives and Pricing
Estimated Revenue & Financials
- Codeplay Software's estimated annual revenue is currently $9.6M per year.
- Codeplay Software's estimated revenue per employee is $145,000
- Codeplay Software has 66 Employees.
- Codeplay Software grew their employee count by 6% last year.
- Codeplay Software currently has 1 job openings.
What Is Codeplay Software?
Codeplay is internationally recognized for expertise in Heterogeneous Systems, & has many years of experience in the development of Compilers, Runtimes, Debuggers, Test Systems & other specialized tools. Codeplay has delivered standards-compliant systems for some of the largest semiconductor companies in the world, focusing specifically on high-performance heterogeneous processor solutions for CPUs, GPUs, DSPs, FPGAs & other specialized imaging and vision processors. Working within The Khronos Group to define new open standards such as OpenCL, SPIR, SYCL, and Vulkan®, & leading the creation of new System Runtime &Tools standards through the HSA Foundation, Codeplay has earned a reputation as one of the leaders in compute systems. The vast expertise gained in building optimized close-to-the-metal technology for customers has been utilized in developing Codeplay's ComputeSuite product. It combines the high-level ComputeCpp easy-to-use C++ standard development tools, with the low-level ComputeAorta heterogeneous runtime technology to ensure that open standards-based parallel software can run on the widest possible range of platforms & devices. By being modular & standards-based, software developers can mix & match components to ensure that their software runs anywhere & exploits the full power of the underlying system. Throughout its history, Codeplay has participated in international research projects, with partners from the largest hardware vendors to the most cutting-edge start-ups, & the expert academics in our field. The focus of these projects has covered optimizing high-performance graphics techniques at low power for mobile & embedded devices, ensuring that performance is portable & investigating its impact across a variety of different heterogeneous systems, & analyzing whether new compilation techniques can assist in making software faster & more power-efficient.keywords:N/A