GPUs May Speed UP EDA Algorithms


The sequential EDA algorithms of old cannot keep pace with increasing design complexity, which is driving the industry to look at parallelism and other computational architectures such as the graphical processing unit (GPU). A 10X or 20X speedup for gate-level simulations means that a test that runs today in a week will run in less than a day, and a test that runs today in a month will run i... » read more

The Ubiquitous GPU


By Ann Steffora Mutschler No matter the application area, GPUs are likely playing a role like never before—even to accelerate EDA software algorithms. It’s no wonder given the ability of GPUs to handle parallel processing much more effectively than CPUs. And when coexisting in a heterogeneous system, GPUs allow the design team to maximize efficiency and performance by allocating tasks... » read more

The Power Game


By Ann Steffora Mutschler Semiconductor engineering teams always have focused on stepping up performance in new designs, but in the mobile, GPU and tablet markets they’re finding that maintaining the balance between higher performance and the same or lower power is increasingly onerous. The reason: Extreme gaming applications can create scenario files that cause dynamic power consumpt... » read more

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