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.
Intel® Xeon® Processors and Intel® Xeon Phi™ Processors have demonstrated significant performance gains across molecular dynamics, genomics and machine learning. Through these and other technologies, we are enabling important advances in cloud computing, real-time analytics, big data processing and time to insights, helping you improve data center efficiency and reliability.
Intel offers a collection of benchmark and replication recipes, and optimized codes. When used on Intel®-based computing platforms, and in concert with other Intel® software tools and products, such as Intel® Solid State Drives (Intel® SSDs), the optimized code can help researchers decipher their data and accelerate the path to discovery.
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.
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.