All Outputs (5)

FixM: Code generation of fixed point mathematical functions (2020)
Journal Article
Cattaneo, D., Chiari, M., Magnani, G., Fossati, N., Cherubin, S., & Agosta, G. (2021). FixM: Code generation of fixed point mathematical functions. Sustainable Computing, 29, part B, Article 100478. https://doi.org/10.1016/j.suscom.2020.100478

Approximate computing has seen significant interest as a design philosophy oriented to performance and energy efficiency [1]. Precision tuning is an approximate computing technique that trades off the accuracy of operations for performance and energy... Read More about FixM: Code generation of fixed point mathematical functions.

Dynamic Precision Autotuning with TAFFO (2020)
Journal Article
Cherubin, S., Cattaneo, D., Chiari, M., & Agosta, G. (2020). Dynamic Precision Autotuning with TAFFO. ACM transactions on architecture and code optimization, 17(2), Article 10. https://doi.org/10.1145/3388785

Many classes of applications, both in the embedded and high performance domains, can trade off the accuracy of the computed results for computation performance. One way to achieve such a trade-off is precision tuning—that is, to modify the data types... Read More about Dynamic Precision Autotuning with TAFFO.

Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App (2020)
Journal Article
Gadioli, D., Palermo, G., Cherubin, S., Vitali, E., Agosta, G., Manelfi, C., …Silvano, C. (2021). Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App. Journal of Supercomputing, 77(1), 841-869. https://doi.org/10.1007

The drug discovery process involves several tasks to be performed in vivo, in vitro and in silico. Molecular docking is a task typically performed in silico. It aims at finding the three-dimensional pose of a given molecule when it interacts with the... Read More about Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App.

Tools for Reduced Precision Computation: A Survey (2020)
Journal Article
Cherubin, S., & Agosta, G. (2020). Tools for Reduced Precision Computation: A Survey. ACM computing surveys, 53(2), Article 33. https://doi.org/10.1145/3381039

The use of reduced precision to improve performance metrics such as computation latency and power consumption is a common practice in the embedded systems field. This practice is emerging as a new trend in High Performance Computing (HPC), especially... Read More about Tools for Reduced Precision Computation: A Survey.

Automated Precision Tuning in Activity Classification Systems: A Case Study (2020)
Presentation / Conference Contribution
Fossati, N., Cattaneo, D., Chiari, M., Cherubin, S., & Agosta, G. (2020). Automated Precision Tuning in Activity Classification Systems: A Case Study. In PARMA-DITAM'2020: Proceedings of the 11th Workshop on Parallel Programming and Run-Time Management T

The greater availability and reduction in production cost make wearable IoT platforms perfect candidates to continuously monitor people at risk, like elderly people. In particular these platforms, along with the use of artificial intelligence algorit... Read More about Automated Precision Tuning in Activity Classification Systems: A Case Study.