Acceleration and Transprecision
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A NVIDIA Tesla V100 GP-GPU. This cutting-edge accelerator provides huge computational power on a massive 800 mm² die.
Accelerators are the backbone of big data and scientific computing. While general purpose processor architectures such as Intel's x86 provide good performance across a wide variety of applications, it is only since the advent of general purpose GPUs that many computationally demanding tasks have become feasible. Since these GPUs support a much narrower set of operations, it is easier to optimize the architecture to make them more efficient. Such accelerators are not limited to high performance sector alone. In low power computing, they allow complex tasks such as computer vision or cryptography to be performed under a very tight power budget. Without a dedicated accelerator, these tasks would not be feasible.
Contents
Who We Are
Francesco Conti
- fconti@iis.ee.ethz.ch
- ETZ J78
Stefan Mach
- smach@iis.ee.ethz.ch
- ETZ J89
Fabian Schuiki
- fschuiki@iis.ee.ethz.ch
- ETZ J89
Manuel Eggimann
- meggiman@iis.ee.ethz.ch
- ETZ J68
Luca Bertaccini
- lbertaccini@iis.ee.ethz.ch
- ETZ J78
Available Projects
Projects In Progress
Completed Projects

The Logarithmic Number Unit chip Selene.