Best Web-Based HPC Software of 2024

Simr (formerly UberCloud) is revolutionizing the world of simulation operations with our flagship solution, Simulation Operations Automation (SimOps). Designed to streamline and automate complex simulation workflows, Simr enhances productivity, collaboration, and efficiency for engineers and scientists across various industries, including automotive, aerospace, biomedical engineering, defense, and consumer electronics. Our cloud-based infrastructure provides scalable and cost-effective solutions, eliminating the need for significant upfront investments in hardware. This ensures that our clients have access to the computational power they need, exactly when they need it, leading to reduced costs and improved operational efficiency. Simr is trusted by some of the world's leading companies, including three of the seven most successful companies globally. One of our notable success stories is BorgWarner, a Tier 1 automotive supplier that leverages Simr to automate its simulation environments, significantly enhancing their efficiency and driving innovation.

Covalent's serverless HPC architecture makes it easy to scale jobs from your laptop to the HPC/Cloud. Covalent is a Pythonic workflow tool that computational scientists, AI/ML program engineers, and anyone who needs to perform experiments on limited or costly computing resources such as HPC clusters and GPU arrays, cloud services, and quantum computers. Covalent allows researchers to run computation tasks on advanced hardware platforms, such as a serverless HPC cluster or quantum computer, using just one line of code. Covalent's latest release includes three major enhancements and two new feature sets. Covalent's modular design allows users to create custom pre-and post-hooks for electrons. This allows them to facilitate a variety of use cases, including setting up remote environments (using DepsPip), and running custom functions.

TotalView debugging software gives you the specialized tools to quickly analyze, scale, and debug high-performance computing applications (HPC). This includes multicore, parallel, and highly dynamic applications that run on a variety of hardware, from desktops to supercomputers. TotalView's powerful tools allow for faster fault isolation, better memory optimization, and dynamic visualisation to improve HPC development efficiency and time-to market. You can simultaneously debug thousands upon thousands of threads and processes. TotalView is a tool that was specifically designed for parallel and multicore computing. It provides unprecedented control over thread execution and processes, as well as deep insight into program data and program states.

Intel®, DevCloud provides free access to a variety of Intel®, architectures. This allows you to get hands-on experience using Intel®, software, and execute your edge and AI, high-performance computing, (HPC) and rendering workloads. You have all the tools and libraries you need to accelerate your learning and project prototyping with preinstalled Intel®. optimized frameworks, tools and libraries. Freely learn, prototype, test, run and manage your workloads on a cluster with the latest Intel®, hardware and software. A new collection of curated experiences will help you learn, including market vertical samples and Jupyter Notebook tutorials. You can build your solution in JupyterLab, test it with bare metal, or create a containerized solution. You can quickly bring it to Intel DevCloud to be tested. Use the deep learning toolbench to optimize your solution for a specific target device edge. Take advantage of the new, stronger telemetry dashboard.

Accelerate compute jobs such as machine learning and HPC. There are many GPUs available to suit different price points and performance levels. Flexible pricing and machine customizations are available to optimize your workload. High-performance GPUs available on Google Cloud for machine intelligence, scientific computing, 3D visualization, and machine learning. NVIDIA K80 and P100 GPUs, T4, V100 and A100 GPUs offer a variety of compute options to meet your workload's cost and performance requirements. You can optimize the processor, memory and high-performance disk for your specific workload by using up to 8 GPUs per instance. All this with per-second billing so that you only pay for what you use. You can run GPU workloads on Google Cloud Platform, which offers industry-leading storage, networking and data analytics technologies. Compute Engine offers GPUs that can be added to virtual machine instances. Learn more about GPUs and the types of hardware available.

Our unique, transient Lattice Boltzmann physics PowerFLOW CFD solution allows simulations to accurately predict real-world conditions by leveraging this unique technology. PowerFLOW suite allows engineers to evaluate product performance before any prototype is built. This is when budgets and design impact are most important. PowerFLOW imports complex model geometry and performs accurate and efficient aerodynamic, thermal management and aeroacoustic simulations. Automated domain modeling and turbulence modeling without the need to manually volume mesh or boundary layer mesh can be done with PowerFLOW. PowerFLOW simulations can be run confidently on a large number of compute cores running on common High Performance Computing platforms (HPC).

The Ansys HPC software suite allows you to use today's multicore processors to run more simulations in a shorter time. These simulations can be larger, more complex, and more accurate than ever before thanks to high-performance computing (HPC). Ansys HPC licensing options allow you to scale to any computational level you require, including single-user or small-user groups options for entry-level parallel processing to virtually unlimited parallel capability. Ansys allows large groups to run parallel processing simulations that are highly scalable and can be used for even the most difficult projects. Ansys offers parallel computing solutions as well as parametric computing. This allows you to explore your design parameters (size and weight, shape, materials mechanical properties, etc.). Early in the product development process.

There is no need to modify your code or the way that you build it. Profiling of applications that run on multiple servers and multiple processes. Clear views of bottlenecks in I/O in computing, in a thread or in multi-process activity. Deep insight into the actual instruction types of processors that impact your performance. To see memory usage over time, you can find high watermarks or changes across the entire memory footprint. Arm MAP is a unique, scalable, low-overhead profiler that can be used standalone or as part the Arm Forge profile and debug suite. It allows server and HPC developers to speed up their software by revealing the root causes of slow performance. It can be used on multicore Linux workstations as well as supercomputers. With a typical runtime overhead of 5%, you can profile the test cases you care about most. The interactive user interface was designed for developers and computational scientists.

You can build reliable and optimized code to achieve the best results on multiple Server or HPC architectures. This includes the latest compilers and C++ standard, as well as Intel, 64-bit Arm and AMD, OpenPOWER and Nvidia GPU hardware. Arm Forge combines Arm DDT (the leading debugger for efficient, high-performance application debugging), Arm MAP (the trusted performance profiler that provides invaluable optimization advice across native, Python, and HPC codes), and Arm Performance Reports, which provide advanced reporting capabilities. Arm DDT/Arm MAP can also be purchased as standalone products. Arm experts provide full technical support for efficient application development on Linux Server and HPC. Arm DDT is the best debugger for C++, C, and Fortran parallel applications. Arm DDT's intuitive graphical interface makes it easy to detect memory bugs at all scales and divergent behavior. This makes it the most popular debugger in academia, industry, research, and academia.

Keep important work moving. Azure HPC Cache allows your Azure compute resources to work more efficiently with your NFS workloads on your network-attached (NAS) storage or Azure Blob storage. Scale your cache according to workloads, improving application performance regardless storage capacity. Hybrid storage support with low latency for both on-premises NAS storage and Azure Blob Storage. Store data using traditional on-premises NAS and Azure Blob Storage. Azure HPC Cache supports hybrid architectural models, including NFSv3 via Azure NetApp Files and Dell EMC Isilon. Azure Blob storage is also supported, as are other NAS products. Azure HPC Cache offers an aggregated namespace so that you can present hot data required by applications in a single directory structure and reduce client complex.

Software technologies have improved tremendously over the past 20 years and HPC computing has grown by orders of magnitude. Our ability to understand simulation results has remained the exact same. Making movies and plots in the traditional way is not scalable when dealing with multi-billion cell networks or tens of thousands of time steps. Automated solution assessment can be accelerated when features or quantitative properties are directly produced via eigen analysis and machine learning. The powerful VisIt Prime backend is paired with the easy-to-use, industry-standard FieldView desktop.

NVIDIA GPU Cloud is a GPU-accelerated cloud platform that is optimized for scientific computing and deep learning. NGC is responsible for a catalogue of fully integrated and optimized deep-learning framework containers that take full benefit of NVIDIA GPUs in single and multi-GPU configurations.

This confluence created new requirements for HPC storage because the input/output patterns for both workloads were very different. It is happening right now. Intersect360, an independent analyst firm, found that 63% of HPC users are already running machine learning programs. Hyperion Research predicts that the growth in HPC storage spending by public sector organizations and enterprises over the next three-years will be 57% faster than that for HPC compute. Seymour Cray once stated, "Anyone can make a fast CPU." The trick is to create a fast system. Anyone can build fast file storage when it comes to AI and HPC. It is possible to create a cost-effective, scalable and fast file storage system. This is possible by embedding the most popular parallel file systems in parallel storage products from HPE that are cost-effective.

High-end accelerators and processors such as Graphic Processing Units (GPU) are best for data-intensive AI, IoT, and HPC workloads that require multiple parallel processes. Businesses and research organizations have had the to make compromises when running compute-intensive workloads using cloud-based solutions. Cloud environments can be incompatible with new applications, or require high energy consumption levels. This can raise concerns about the environment. Other times, some aspects of cloud solutions are just too difficult to use. This makes it difficult to create custom cloud environments that meet business needs.

Cloud-integrated hybrid storage can be created that integrates with your existing network-attached storage and Azure Blob Storage. This appliance optimizes data access in your datacenter, in Azure or across a wide area network (WAN). Microsoft Azure FXT Edge filter is a combination of software and hardware. It provides high throughput and low latency to support hybrid storage infrastructure that supports high-performance computing (HPC). Scale-out clustering allows for non-disruptive NAS performance scale-up. To scale to millions of IOPS, and hundreds of gigabytes/s, join up to 24 FXT cluster nodes. Azure FXT Edge filter is the best choice for file-based workloads that require performance and scale. Azure FXT Edge Filer makes it easy to manage data storage. To keep your data accessible and available with minimal latency, you can transfer aging data to Azureblob Storage. Balance cloud and on-premise storage

Kombyne™, a new SaaS high performance computing (HPC), workflow tool, was initially designed for customers in the aerospace, defense, and automotive industries. It is now available to academic researchers. It allows users to subscribe for a variety of workflow solutions for HPC-related jobs, including on-the-fly extraction generation and rendering to simulation steering. Interactive monitoring and control are available with minimal simulation disruption, and no reliance upon VTK. Extract workflows and real time visualization eliminate the need for large files. In-transit workflows use a separate process that receives data from the solver and performs visualizations and analysis without interfering in the running solver. The endpoint, also known as an extract, can output point samples, cutting planes, and point samples for data science. It can also render images. The Endpoint can also be used to bridge to popular visualization codes.

Arm Allinea Studio provides a suite of tools to develop server and HPC applications for Arm-based platforms. It includes Arm-specific libraries and compilers, as well as debugging and optimization tools. Arm Performance Libraries are optimized core math libraries that can be used to run high-performance computing applications on Arm processors. These routines are available via both Fortran and C interfaces. Arm Performance Libraries are built using OpenMP across many BLAS and LAPACK, FFT and sparse procedures to maximize your performance when working in multi-processor environments.

The Nimbix Supercomputing Suite offers a range of high-performance computing (HPC), as-a-service solutions that are flexible and secure. This as-a service model for HPC, AI and Quantum in cloud gives customers access to one the largest HPC and supercomputing portfolios. It includes hardware, bare metal-as a service, and the democratization and use of advanced computing in cloud across public and privately owned data centers. HyperHub Application Marketplace is our high-performance marketplace that offers over 1,000 applications and workflows. For the best infrastructure and on-demand scalability and convenience, BullSequana HPC server can be used as bare metal. Federated supercomputing-as-a-service offers a unified service console to manage all compute zones and regions in a public or private HPC, AI, and supercomputing federation.

Kao Data is a leader in the industry. It pioneered the development and operation data centres designed for AI and advanced computing. We provide our customers a secure, scalable, and sustainable computing environment with a hyperscale platform. Kao Data is a leader in the industry for developing and operating data centres designed for AI and advanced computing. Our Harlow campus is the UK's top choice for high-density, GPU-powered computing. We can help you realize your hybrid AI and HPC goals with rapid on-ramps to all major cloud providers.

Moab®, HPC Suite automates the management, monitoring, reporting, and scheduling of large-scale HPC workloads. Its intelligence engine, which is patent-pending, uses multi-dimensional policies to optimize workload start times and run time on different resources. These policies balance high utilization goals and throughput with competing workload priorities, SLA requirements, and thus accomplish more work in less time and in a better priority order. Moab HPC Suite maximizes the value and use of HPC systems, while reducing complexity and management costs.