Intel® Parallel Computing Centers

Universities, institutions, and labs that work to optimize open source applications.


Intel® Parallel Computing Centers in the News


Optimize a TensorFlow* Serving System on Intel® Xeon® Scalable Processors
Train Multiscale Convolutional Neural Networks (CNN) with High-Content Cellular Imaging on Intel Xeon Scalable Processors
Learn About a Machine Learning Framework for Large-Scale Weather and Climate Prediction
CERN Project Sees Orders of Magnitude Speed Up with an AI Approach
National Energy Research Scientific Computing Center (NERSC), Intel, and Cray Harness the Power of Deep Learning to Better Understand the Universe
VisIt OSPRay*: An Exascale Volume Visualization System
Research Team Improves Code to Benefit Industrial Engineers
Deep Learning and the Transformation of Science Exploration
Welcome Our Newest Members: Nanjing University | First Institute of Oceanography
Durham University Seeks to Unlock the Mysteries of the Cosmos
Google I/O* 2018: Advances in Machine Learning and TensorFlow*
Artificial Intelligence Helps with Skin Cancer Screening
Devito Delivers Automated High-Performance Finite-Difference for Geophysical Exploration
Use AI to Discover the Moon’s Hidden Treasures
Get the Latest Supercomputer Simulation of the Sumatra-Andaman Earthquake
Explore the Convergence of AI, Data, and HPC
Gravitational Waves: How Computing Opens a New Field of Astronomy


Free Training Opportunities That Are Open to the Public
The University of Stuttgart Becomes the Newest Intel® Parallel Computing Center (Intel® PCC)
Scalable Processors Accelerate Creation and Innovation in Next-Generation Workstations
A Look Ahead and Back to the Intel® HPC Developer Conference
New Intel® Xeon® Scalable Processors Improve HPC Performance
The Parallel Universe: Tuning Autonomous Driving
Texas Advanced Supercomputing Center Taps Latest HPC Technology
Technology Requirements for Deep and Machine Learning
Scale Neural Networks Through Cost-Effective Memory Expansion
Supercomputers Use Machine Learning to Gain New Insights into Complex Cellular Processes
System Development for Intel® Xeon Phi™ Processors (Formerly Called Knights Landing) Targets Dark Matter
ISC Industrial Day: Bridging Academia and Industrial HPC Users
HPC Enhances Oil and Gas Discovery
Case Study: Profiling F5 Networks
Geniuses Wanted: NASA Challenges Coders to Speed Up Its Supercomputer
HPC Accelerates Precision Medicine Toward Life-Saving Impacts
Intel Releases Optimized Python* for HPC
CERN Openlab Explores New CPU and Field-Programmable Gate Array (FPGA) Processing Solutions
Driving Better Answers to Life's Tiny Questions
CPU-Based Visualization Positions for Exascale Supercomputing
Accelerate Python and Deep Learning
Memory Mode Programming (Multi-Channel DRAM or MCDRAM) for Intel Xeon Phi Processors in a Nutshell
Making Sense of When to Use FPGAs
San Diego Supercomputer Center (SDSC) Achieves Record Performance in Seismic Simulations with Intel
Partnership for Advanced Computing in Europe: Best Practice Guide for Intel Xeon Phi Processors (formerly Knights Landing)
Fast Deep Learning at Your Fingertips
Recipe: Building and Running MIMD Lattice Computation (MILC) Software on Intel Xeon Phi Processors
Implementation of a Classic Gram-Schmidt Process in a Reservoir Simulator
Bolster Lustre* on Zettabyte File System (ZFS): Highlights of Continuing Work
3D Isotropic Acoustic Finite-Difference Wave Equation Code: Implementation and Analysis
Memory Management Optimizations for the Intel Xeon Phi Processor 7200
Research Report on In-Memory Computing
Parallel Universe Magazine: The Present and Future of OpenMP*
A Quick Analysis of Vectorization Using Intel® Advisor Article | Video
Explore the Message Passing Interface (MPI) for Python on an Intel Xeon Phi Processor
Thread Parallelism in Cython