Karl Taht

According to our database, Karl Taht authored at least 5 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Introspective Computing.

Karl Taht

PhD thesis, 2020

SpinalFlow: An Architecture and Dataflow Tailored for Spiking Neural Networks.

Surya Narayanan, Karl Taht, Rajeev Balasubramonian, Edouard Giacomin, Pierre-Emmanuel Gaillardon

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019

The POP Detector: A Lightweight Online Program Phase Detection Framework.

Karl Taht, James Greensky, Rajeev Balasubramonian

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019

2018

A Case for Dynamic Activation Quantization in CNNs.

Karl Taht, Surya Narayanan, Rajeev Balasubramonian

Proceedings of the 1st Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2018

2017

Introspective Computing.

Karl Taht, Rajeev Balasubramonian

Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017