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2011-09-14 14:59:30


AMD also continued to roll out the Fusion-class processors for client systems that it calls Accelerated Processor Units, or APUs. The chip maker's Fusion-branded chips boast both CPU cores and GPU cores on a single processor die to blend the best of the company's two main silicon technologies.

On Wednesday, AMD announced the availability of the A-Series A4-3300 and A4-3400 desktop APUs, which are intended for entry-level desktop PCs. The new chips feature a dual-core x86 central processor and 160 Radeon GPU cores in a chip package that slots into AMD's FM1 motherboards and has a 65-watt power draw.

The A4-3300 is priced at $70. It has a 2.5GHz CPU, a GPU that clocks at 444MHz, and 1MB of L2 cache. The A4-3400 is $75, clocks at 2.7GHz for the CPU and 600MHz for the GPU, and also has 1MB of L2 cache.

The new APUs are cleared for DirectX 11, meaning they're capable of discrete-level graphics and dedicated HD video processing in addition to providing energy-efficient performance for everyday PC tasks, according to AMD.


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2011-11-30 16:24:50



First HPC Cluster with AMD Fusion Chips Debuts at Sandia


Sandia National Labs made a bit of HPC history this week when it announced it had installed the first HPC cluster outfitted with AMD's Accelerated Processing Units (APUs), based on the chipmakers Fusion processor design. The chip integrates x86 CPU cores and ATI GPU cores onto the same processor.

This is an experimental system only, to be used as a platform to evaluate the CPU-GPU heterogenous processor model of supercomputing. Currently, AMD's Fusion chips are designed for personal computing platforms and are not intended for servers. But apparently Sandia's Scalable Computer Architectures group was eager enough to get their hands on an APU cluster to contract Penguin and AMD to be build them a system.

AMD has plans in the works for an HPC APU that would utilize even a larger GPU and fewer x86 core than the current desktop chips. He thinks the company can build HPC APUs that run about 150 watts and would be powerful enough to power an exaflop computer that consumes no more than 20 MW. And, thanks to the integrated CPU-GPU memory space, these machines would be reasonably easy to program.


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