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The Role of Middleware in Optimizing Vector Processing

A new whitepaper from NEC X delves into the world of unstructured data and explores how vector processors and their optimization software can help solve the challenges of wrangling the ever-growing volumes of data generated globally. “In short, vector processing with SX-Aurora TSUBASA will play a key role in changing the way big data is handled while stripping away the barriers to achieving even higher performance in the future.”

The Role of Middleware in Optimizing Vector Processing

This whitepaper delves into the world of unstructured data and describes some of the technologies, especially vector processors and their optimization software, that play key roles in solving the problems that arise as result of the accelerating amount of data generated globally.

Using Vectors on Intel Xeon Phi

The use of vector instructions can speed up applications tremendously when used correctly. The benefit is that much more work can be done in a clock cycle than by performing the operation one at a time. The Intel Xeon Phi coprocessor was designed with strong support for vector level parallelism. “When these techniques are used either individually or in combination in different areas of the application, the performance will surely be increased, in many cases without a lot of effort.”