Arm MAP Integrations

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

Fortran has been designed from the ground up for computationally intensive applications in science and engineering. Mature and battle-tested compilers and libraries allow you to write code that runs close to the metal, fast. Fortran is statically and strongly typed, which allows the compiler to catch many programming errors early on for you. This also allows the compiler to generate efficient binary code. Fortran is a relatively small language that is surprisingly easy to learn and use. Expressing most mathematical and arithmetic operations over large arrays is as simple as writing them as equations on a whiteboard. Fortran is a natively parallel programming language with intuitive array-like syntax to communicate data between CPUs. You can run almost the same code on a single CPU, on a shared-memory multicore system, or on a distributed-memory HPC or cloud-based system.

Build reliable and optimized code for the right results on multiple Server and HPC architectures, from the latest compilers and C++ standards to Intel, 64-bit Arm, AMD, OpenPOWER, and Nvidia GPU hardware. Arm Forge combines Arm DDT, the leading debugger for time-saving high-performance application debugging, Arm MAP, the trusted performance profiler for invaluable optimization advice across native and Python HPC codes, and Arm Performance Reports for advanced reporting capabilities. Arm DDT and Arm MAP are also available as standalone products. Efficient application development for Linux Server and HPC with Full technical support from Arm experts. Arm DDT is the debugger of choice for developing of C++, C, or Fortran parallel, and threaded applications on CPUs, and GPUs. Its powerful intuitive graphical interface helps you easily detect memory bugs and divergent behavior at all scales, making Arm DDT the number one debugger in research, industry, and academia.

Optimized AI is ready to launch on-device and allows you to deploy your AI models on actual devices. With LaunchX automation, you can simplify conversion and effortlessly measure performance on target devices. Customize the AI platform to meet your hardware specifications. Enable seamless AI model deployment with a tailored software stack. Nota’s AI technology empowers intelligent transportation systems, facial recognition, and security and surveillance. The company’s solutions include a driver monitoring system, driver authentication, and smart access control system. Nota‘s current projects cover a wide range of industries including construction, mobility, security, smart home, and healthcare. Nota’s partnership with top-tier global market leaders including Nvidia, Intel, and ARM has helped accelerate its entry into the global market.

NetsPresso is a hardware-aware AI model optimization platform. NetsPresso powers on-device AI across industries, and it's the ultimate platform for hardware-aware AI model development. Lightweight models of LLaMA and Vicuna enable efficient text generation. BK-SDM is a lightweight version of Stable Diffusion models. VLMs combine visual data with natural language understanding. NetsPresso resolves Cloud and server-based AI solutions-related issues, such as limited network, excessive cost, and privacy breaches. NetsPresso is an automatic model compression platform that downsizes computer vision models to a size small enough to be deployed independently on the smaller edge and low-specification devices. Optimization of target models being key, the platform combines a variety of compression methods which enables it to downsize AI models without causing performance degradation.