NVIDIA HPC SDK
The NVIDIA HPC Software Development Kit (SDK) equips developers with essential compilers, libraries, and tools to enhance productivity and portability in high-performance computing. It supports GPU acceleration for C, C++, and Fortran applications using OpenACC and CUDA, optimizing performance with specialized math and communication libraries, alongside profiling and debugging tools for efficient application deployment.
Top NVIDIA HPC SDK Alternatives
NVIDIA Modulus
NVIDIA Modulus is a powerful neural network framework designed to integrate physics with data to create high-fidelity surrogate models.
HPE Performance Cluster Manager
HPE Performance Cluster Manager (HPCM) offers an integrated management solution tailored for Linux-based HPC clusters.
Intel oneAPI HPC Toolkit
The Intel® oneAPI HPC Toolkit empowers developers to create, analyze, and optimize high-performance computing applications essential for AI, machine learning, and deep learning.
Ansys HPC
Ansys HPC leverages the power of multicore computing to enable faster, more intricate simulations, enhancing accuracy and complexity.
AWS Parallel Computing Service
AWS Parallel Computing Service (AWS PCS) streamlines the execution and scaling of high-performance computing workloads, empowering users to construct elastic environments with integrated compute, storage, and networking tools.
Lustre
Lustre is an open-source, parallel file system designed for high-performance computing environments, capable of scaling to thousands of clients and petabytes of storage.
AWS HPC
With Elastic Fabric Adapter for low-latency networking and on-demand resource access, teams can innovate rapidly...
Moab HPC Suite
Utilizing a patented intelligence engine, it employs multi-dimensional policies to optimize workload scheduling and execution...
Azure HPC
It combines powerful CPU, GPU, and FPGA capabilities, enabling users to tackle complex challenges and...
Fuzzball
Its user-friendly, web-based interface allows researchers to design and automate complex workflows seamlessly...
UberCloud
The platform integrates seamlessly with leading tools like ANSYS and COMSOL, optimizing high-performance computing environments...
Covalent
With Python-based access to diverse hardware resources, it automates containerization, provisioning, and scheduling, ensuring efficient...
Arm Allinea Studio
It includes specialized compilers, libraries, and advanced debugging and optimization tools, alongside the Arm Performance...
Nimbix Supercomputing Suite
With features like bare metal-as-a-service and the Federated Supercomputing model, it ensures seamless scalability, agility...
Arm MAP
It operates seamlessly on multiple architectures, delivering critical insights into bottlenecks and memory usage with...
Top NVIDIA HPC SDK Features
- GPU-accelerated Fortran support
- C++17 parallel algorithms
- OpenACC directive-based programming
- Tensor Core optimization
- Multi-GPU communication primitives
- CUDA-aware MPI library
- Performance profiling tools
- Easy deployment via containers
- Highly portable across architectures
- Integrated suite for HPC
- Support for Arm and x86-64
- Optimized math libraries
- Simplified debugging processes
- Industry-standard communication libraries
- Seamless integration with existing code
- Proven performance for top applications
- Support for CUDA Unified Memory
- Efficient memory allocation routines
- Access to technical experts
- Enhanced developer productivity.
