Author:
Isupov Konstantin,Knyazkov Vladimir
Publisher
Springer International Publishing
Reference24 articles.
1. IEEE Standard for Floating-Point Arithmetic: Standard, Institute of Electrical and Electronics Engineers, New York, NY, USA (2019). https://doi.org/10.1109/IEEESTD.2019.8766229
2. Courbariaux, M., Bengio, Y., David, J.P.: Training deep neural networks with low precision multiplications (2014). https://arxiv.org/abs/1412.7024. Accessed 10 Apr 2020
3. Bailey, D.H., Borwein, J.M.: High-precision arithmetic in mathematical physics. Mathematics 3(2), 337–367 (2015). https://doi.org/10.3390/math3020337
4. Daněk, J., Pospíšil, J.: Numerical aspects of integration in semi-closed option pricing formulas for stochastic volatility jump diffusion models. Int. J. Comput. Math. 1–25 (2019). https://doi.org/10.1080/00207160.2019.1614174
5. Feng, Y., Chen, J., Wu, W.: The PSLQ algorithm for empirical data. Math. Comp. 88(317), 1479–1501 (2019). https://doi.org/10.1090/mcom/3356
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Fast Arbitrary Precision Floating Point on FPGA;2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM);2022-05-15
2. An overview of high-performance computing using the residue number system;Program Systems: Theory and Applications;2021-06-28
3. Computing the Sparse Matrix-Vector Product in High-Precision Arithmetic for GPU Architectures;Communications in Computer and Information Science;2021
4. JAD-Based SpMV Kernels Using Multiple-Precision Libraries for GPUs;Communications in Computer and Information Science;2021