All Outputs (4)

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.