Conventional wisdom says that choosing between a GPU versus CPU architecture for running scientific visualization workloads or irregular code is easy. GPUs have long been the go-to solution, although ...
In today’s ever-evolving coding landscape, where efficiency, performance and sustainability are paramount, the impact of inefficient code on CPU utilization is a constant debate among software ...
Penryn. Nehalem. Phenom. Fusion. Inside these four cryptic code names lies the future of computer desktop processing for 2008. Ultimately, however, it’s all about the epic, age-old battle between chip ...
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