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Modern data centers are presenting unprecedented demands in terms of cost and energy consumption, far outpacing architectural advances. Consequently, blade designs exhibit significant cost and power inefficiencies, particularly in the memory system. We propose a HyperTransport-enabled solution called the Dynamic Partitioned Global Address Space (DPGAS) model for seamless, efficient sharing of memory across blades in a data center, leading to significant power and cost savings. This paperdoi:10.11588/heidok.00009112 fatcat:ib4yanuxbrfmtaa3b6mwdc7f6i