The Wolfram Solution for

High-Performance Computing

High-performance computing requires getting correct answers to the most demanding technical and scientific problems. Because of the complexity of such problems, the majority of systems fail to provide either feasible computing times or dependable results.

Wolfram technologies provide the best of both worlds, integrating important HPC technologies in a seamless, optimized environment so you don't have to choose between speed and accuracy. With many of these technologies applied in automated ways, Wolfram offers the high-performance computing environment that lets you deliver quick, correct solutions.

Powering applications with GPU computation and parallel processing
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Wolfram technologies include thousands of built-in functions that let you:

  • Build large-scale production systems using the Wolfram Language's unique mix of computational ability, performance, and rapid development
  • Evaluate and improve your architecture before writing code, or test the performance of sections of the code before the application is fully implemented
  • Automate the coding process, dramatically reducing time to delivery
  • Plot running time to see how it scales with input size
  • Enhance financial and linear algebra calculations with CUDA or OpenCL computations
  • Use CUDA architecture to calculate game physics of debris or fluids, or to speed up applications in other fields that demand high performance
  • Use gridMathematica to automatically use extra processing power from local hardware, clusters, or ad hoc grids without changing any code
  • Simulate complex many-body physical systems with classical and quantum Monte Carlo methods
  • Perform powerful image processing with built-in functions for filtering, morphology, and binary operations with the GPU
  • Run large simulations to test models of complex thermodynamic systems
  • Run GPU-optimized BLAST searches on large genomes
  • Study protein dynamics on length and time scales otherwise not possible

Rely on high performance to build large-scale production systems, like this physics simulation engine

Develop computationally intensive business intelligence applications with superior user experience and deployment flexibility

Next: How Wolfram Compares
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Does your current tool set have these advantages?

  • Build on the industry's largest collection of built-in algorithms for a wide range of mathematics, science, and engineering applications to write less code and accomplish tasks not possible with other platforms
  • Test sections of code as they are written more easily than with compiled languages
  • Broad support for HPC standards, including cluster management systems, through gridMathematica
  • Built-in multicore, multi-CPU, and GPU parallelism with no configuration required in the Wolfram Language.
  • Dynamically display parallel processing metrics such as parallel kernel status, load balancing, and concurrency monitoring
  • Build and load completely scalable CUDA or OpenCL programs with a comprehensive and easy-to-use, high-level interface
  • Highly automated machine learning functions provide immediate access to a range of complex computational tasks
  • Built-in serialization for Wolfram Language expressions makes it easy to save and restore the state of your system
  • Get your work done with a small fraction of the code required in other languages
  • Mix code, documentation, test cases, examples, and calculations related to your program in a single, highly organized document

Run complex quantum simulations and manipulate them in real time

Displaying parallel processing metrics with built-in functions

Next: Key Capabilities
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Organizations Using Wolfram Technologies

Advanced Micro Devices Bloomberg Finance L.P. The Goldman Sachs Group, Inc. Google
Intel Corp. Lockheed Martin Merck & Co., Inc. NASA
Pfizer Inc. Pixar Animation Studio

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