Optimize Life Sciences Codes

Accelerate Science. Translate Results. Deliver Today.

Life Sciences are in the midst of a dramatic transformation as technology redefines what is possible for life as we know it. Discoveries will not wait – why should you?



Intel is working with leading experts in the field to optimize top applications and speed up the time to clinical diagnosis.

Unlock genomics advances today

Molecular Dynamics

Molecular Dynamics

Intel delivers the performance needed to handle molecular dynamics workloads—from hundreds to millions of particles.

Speed molecular dynamics simulations today

Molecular Imaging

Molecular Imaging

Intel is enabling insights in molecular imaging, ranging from resolving protein structures, visualization of cell function, and analysis of molecular processes in living organisms. With these insights, life sciences are seeing applications in cancer, immunology, neurodegenerative disorders, and more.

Improve insights with molecular imaging

Redefining What Is Possible with Intel® Technologies

Intel® Scalable Systems Framework delivers high performance, balanced, power-efficient, and reliable systems capable of supporting a wide range of compute-intensive and data-intensive life sciences analytics workloads, including genomics, molecular dynamics, molecular imaging, deep learning, and visualization.

Pre-validated SSF Integrated Solutions reduce time to insight (rapid prototyping, discovery, and data analytics) through improved configurability to match a given workload. SSF enables greater configurability and flexibility than contemporary supercomputers across new levels of memory, in the switching fabric, the I/O and storage subsystems, and within the interconnect. Intelligence at the hardware and software levels enables supercomputing sites to tune for optimal performance.

Help Unlock Groundbreaking Insights with Intel® Xeon® Processors and Intel® Xeon Phi™ Processors

Intel® Xeon® Processors and Intel® Xeon Phi™ Processors have demonstrated significant performance gains across molecular dynamics, genomics, molecular imaging, and machine learning. Intel offers a collection of benchmark and replication recipes, and optimized codes. When used, the optimized code can help researchers decipher their data and accelerate the path to discovery.

Learn more about the Intel® Xeon® Product Family and check out the latest benchmarks for complete speed, performance, and configuration specifications.

See how to take advantage of the Intel® Xeon Phi™ Product Family, a foundational element of Intel® Scalable System Framework (Intel® SSF), delivering competitive performance for deeper insights into your most complex data challenges. Check out the Intel® Xeon Phi™ Momentum Guide.


The Future is Scalable—Intel® Scalable System Framework

Explore Intel® Scalable System Framework, which offers performance, scalability, and balance for both compute- and data-intensive applications.

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TGen, Dell, and Intel—Accelerating Science for Precision Medicine

See how TGen is solving complex problems for patients through genomic testing with Dell and Intel, which provide high performance computing resources that help doctors and researchers understand data and ultimately treat and prevent disease.

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Machine Learning

Machine Learning and AI is the next big revolution in computing and holds the promise to provide insights previously unavailable, while also solving the world’s biggest challenges.

Build the future today

Intel® Parallel Computing Centers

Intel® Parallel Computing Centers include universities, institutions, and labs that are leaders in their fields. They focus on modernizing applications to increase parallelism and scalability through optimizations that leverage cores, caches, threads, and vector capabilities of microprocessors and coprocessors.

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Intel® Software Tools

Boost application performance with tools that simplify the creation of fast and reliable parallel code.

Intel® Data Analytics Acceleration Library (Intel® DAAL)

The Intel® Data Analytics Acceleration Library (Intel® DAAL) is designed to help software developers reduce the time it takes to develop their applications and provide them with improved performance. Intel® DAAL helps applications make better predictions faster and analyze larger data sets with the available compute resources at hand.

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Intel® Math Kernel Library (Intel® MKL)

Accelerates math processing and neural network routines that increase application performance and reduce development time. Intel® MKL includes highly vectorized and threaded Linear Algebra, Fast Fourier Transforms (FFT), Neural Network, Vector Math, and Statistics functions. The easiest way to take advantage of all of that processing power is to use a carefully optimized math library.

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Intel® Distribution for Python*

Use the Intel® Distribution for Python* as a drop-in replacement for your current Python* environment to get high performance out of the box. Your Python* applications immediately gain significant performance and can further be tuned to extract every last bit of performance using the Intel® VTune™ Amplifier.

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Workflow Profiler

Intel offers a complete package to help computational biologists and scientific computing specialists determine how best to optimize a long-running workflow. Easy to use even on custom pipelines, the Workflow Profiler helps automate data collection and chart generation, and zero in on the key stages and areas of bottlenecks in the system.

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Intel® Cluster Ready

Simplify the deployment and testing of cluster systems. Combining this standards-based cluster architecture with Intel® Xeon® processors and Intel® Xeon Phi™ processors provides a practical, cost-effective way to achieve dramatic performance gains for highly parallel applications, while simplifying software development and cluster maintenance.

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Intel® Threading Building Blocks

Intel® Threading Building Blocks (Intel® TBB) 4.3 is a widely used, award-winning C and C++ Library for creating high-performance, scalable parallel applications. Enhance productivity and reliability with this rich set of components to efficiently implement higher-level, task-based parallelism, while tapping into multi-core and manycore processing power.

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