Filter by:
Techniques Employed to Accelerate NumPy & SciPy in Intel® Distribution for Python
Get high performance Python at your fingertips with the free Intel® Distribution for Python, and experience significant speedups for NumPy and SciPy with the Intel® Math Kernel Library (Intel® MKL). NumPy and SciPy are at the heart of scientific computing with...
Intel® Distribution for Python – Highlights & Overview
Get high performance Python at your fingertips with the free Intel® Distribution for Python. Intel released the Intel® Distribution for Python* in September 2016, and it has made a huge impact in advancing the performance of Python closer to native code. In this video, Sergey will highlight the...
CPUs are set to dominate high end visualization
It is certainly provocative to say that CPUs will dominate any part of visualization - but I say it with confidence that the data supports why this is happening. The primary drivers are (1) data sizes, (2) minimizing data movement, and (3) ability to change to O(n log n) algorithms.
BigDL: Bring Deep Learning to the Fingertips of Big Data Users and Data Scientists
Big data and analytics play a central role in today’s smart and connected world, and are continuously driving the convergence of big data, analytics, and machine learning/deep learning. We open sourced BigDL, a distributed deep learning library for Apache Spark*, in December 2016, for the very...
Intel Solutions and Technologies for the Evolving Data Center
One Stop for Optimizing Your Data Center
From AI to Big Data to HPC: End-to-end Solutions
Whether your data center is data- or compute-intensive and whether it serves cloud, high-performance computing, enterprise, storage, networking, or big data analytics, we have solutions and technologies...
Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*
Overview
This article introduces Berkeley Vision and Learning Center (BVLC) Caffe* and a custom version of Caffe*, Intel® Optimized Caffe*. We explain why and how Intel® Optimized Caffe* performs efficiently on Intel® Architecture via Intel® VTune™ Amplifier and the time profiling option of...
Go* for Big Data
Using Intel® Data Analytics Acceleration Library (Intel® DAAL) with the Go* programming language to enable batch, online, and distributed processing
Distributed, Docker*-ized Deep Learning with Intel® Nervana™ technology, neon™, and Pachyderm*
The recent advances in machine learning and artificial intelligence are amazing! It seems like we see something groundbreaking every day, from self-driving cars, to AIs learning complex games. Yet, in order to have real value within a company, data scientists must be able to get their models off of...
Bare-metal performance for Big Data workloads on Docker* Containers
BlueData® and Intel® have collaborated in an unprecedented benchmark of the performance of Big Data workloads. These workloads were benchmarked in a bare-metal environment versus a container-based environment that uses the BlueData EPIC™ software platform. The workloads for both test environments...
- 1
- Next