High Performance Computing Software

Do you require rapid access to shared data between multiple servers within a Linux® high-performance computing (HPC) cluster on a Storage Area Network (SAN)? The HPE Clustered Extents File System is designed to provide simultaneous, high speed shared access to data between clustered Linux servers connected to a SAN, where each server in the cluster has direct high-speed data channels to a shared set of disks. The servers share a single name-space within the cluster, so each server can see all files, and can access files at local to near-local speeds. HPE Clustered Extents File System can scale for bandwidth or I/O by adding additional storage or network connections and provide for high availability (HA) of data within a design that detects and automatically recovers from server or network failure.

Are you a scientist, researcher, or an HPC programmer at a national laboratory, research university, or a commercial organization who develops modeling and simulation applications in weather forecasting, climate modeling, high-energy physics, materials science, computational chemistry, computational biology, computational fluid dynamics, structural analysis, astrophysics, geophysical sciences, and similar fields?

Hewlett Packard Enterprise partners with NVIDIA to provide compiler support for those who utilize the NVIDA HPC Software Development Kit. HPC SDK Compiler Support Services (HCSS) provide enterprise-grade support for the HPC compilers within the NVIDIA HPC SDK, specifically the NVFORTRAN, NVC++, and NVC compilers.

Do you need to execute high performance computing (HPC) and artificial intelligence (AI) workloads?

The Hewlett Packard Enterprise HPC software stack is designed for its hardware systems and compatible with various third-party and open-source software solutions, enabling customers to achieve impressive performance and system management at scale. 

HPE Cray Supercomputing User Services Software bundles together advanced features—including for power measurement and file system integration—to enhance user experience and system performance. By offering selective installation of features, HPE Cray SC User Services Software helps users customize their managed node environments based on their unique needs. HPE Cray SC User Services Software also supports integration of workload manager software and container orchestrators to continually facilitate increasingly complex integrated HPC and AI workflows.

Is your HPE Slingshot interconnected system delivering high performance and efficiency? HPE Cray Supercomputing Fabric AIOps Software fuses large scale telemetry data ingest with job and topology information to power analytics that deliver insights into interconnect behavior and possible issues. Understanding how a large complex interconnected computing system behaves is a daunting task. The unique telemetry from HPE Slingshot’s premier congestion management capabilities and HPE Cray Supercomputing Fabric AIOps Software provides insights which can be used to increase system, workload and application performance, and improve return on investment while reducing the burden and costs of operating a complex system. By Informing system administrators of congestion hot-spots, anomalies, and patterns in the interconnect traffic, HPE Cray Supercomputing Fabric AIOps empowers them to more rapidly detect potential issues, unveil relationships, take preventive action, and improve operations.

Does your HPC organization need to develop code in-house?

HPE Cray Supercomputing Programming Environment Software offers your programmers a complete set of tools for developing, porting, debugging, and tuning of their code so they can develop applications and bring innovations to the market faster. Save time by simplifying the transition to varying hardware architectures and configurations by automatically applying optimizations on HPC applications that use existing programming models with a simple recompile. HPE Cray Supercomputing Programming Environment Software provides a future-ready solution at a reduced cost with built-in languages, models, libraries, and tools.

Does your high-performance computing (HPC) / artificial intelligence (AI) environment need virtual GPU (vGPU) capability?
The NVIDIA® Virtual GPU Software enables GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization. By making GPU performance possible for every virtual machine (VM), the vGPU technology helps users to work more efficiently and productively from the data center to the cloud. 

Are you looking to reduce cost and complexity of the AI lifecycle?
NVIDIA AI Enterprise addresses the complexities of organizations trying to build and maintain their own high-performance, secure, and cloud-native AI software platform. Use pre-trained and customizable models to streamline development and deployment to better results with lower costs.