Cell BE Processor

Innovative Cell-Based Solutions

Cell technology puts tremendous processing power in a compact and affordable footprint. Its unprecedented exponential increase in compute performance per dollar can dramatically enhance the processing density of many current applications including aerospace tracking and imaging, remote transmission and analysis of digital X-rays, compression and decompression of video data.

Technology Architecture

The architecture of the Cell BE processor features nine microprocessors on just one chip: eight synergistic processor elements (SPEs) and a Power Architecture™ compliant core, the power processor element (PPE), which orchestrates their activities. The element interconnect bus (EIB) provides the internal communication among the processors and is capable of moving 96 bytes/cycle. The heterogeneous, high-performance processing elements on a common interconnect have a structure that is designed for distributed processing.

Technology options for high-performance computing
        

Cell BE Processor Literature
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Accelerating Applications

Compute accelerators with multiple processing cores can provide unprecedented levels of performance for computationally intensive applications. Examples of compute accelerating technology include field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and multicore microprocessors such as the Cell BE Processor.

Mercury's software tools and libraries, professional services, and hardware acceleration technologies can significantly accelerate mathematical computations for complex algorithms across these technologies. Mercury works with customers in medical imaging, electronic design automation (EDA), semiconductor, aerospace and defense, seismic processing, and video processing markets to eliminate bottlenecks in their applications.

To connect the hardware together and optimize the processor-to-processor I/O, we employ a variety of switch fabrics including RapidIO, RACE++®, switched PCI Express®, InfiniBand®, and Gigabit Ethernet.

Learn about future compute accelerator solution architectures:
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