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Home > News > All News > Parallel Computing

Parallel Computing

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CSE faculty bring significant showing to major systems conference

Researchers designed three new systems to speed up code at several key bottlenecks.

Creating more efficient data centers for AI

Tang’s project will redesign data center systems to support large-scale use of hardware accelerators to meet future computational demand.

A breakthrough for large scale computing

New software finally makes ‘memory disaggregation’ practical.

Two papers by Michigan researchers chosen as IEEE Micro Top Picks

The two papers from Michigan introduced the Sirius personal digital assistant and the MBus bus for modular microcomputing systems.
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