5 citations · 9 across the 10 of their papers we have counts for
4 papers · 1 filter
RLIBM-PROG: Progressive Polynomial Approximations for Fast Correctly Rounded Math Libraries
Mridul Aanjaneya, Jay P. Lim, Santosh Nagarakatte
This paper presents a novel method for generating a single polynomial approximation that produces correctly rounded results for all inputs of an elementary function for multiple re…
RLIBM-ALL: A Novel Polynomial Approximation Method to Produce Correctly Rounded Results for Multiple Representations and Rounding Modes
Jay P. Lim, Santosh Nagarakatte
Mainstream math libraries for floating point (FP) do not produce correctly rounded results for all inputs. In contrast, CR-LIBM and RLIBM provide correctly rounded implementations…
RLIBM-32: High Performance Correctly Rounded Math Libraries for 32-bit Floating Point Representations
Jay P. Lim, Santosh Nagarakatte
This paper proposes a set of techniques to develop correctly rounded math libraries for 32-bit float and posit types. It enhances our RLibm approach that frames the problem of gene…
A Novel Approach to Generate Correctly Rounded Math Libraries for New Floating Point Representations
Jay P. Lim, Mridul Aanjaneya, John Gustafson +1
Given the importance of floating-point~(FP) performance in numerous domains, several new variants of FP and its alternatives have been proposed (e.g., Bfloat16, TensorFloat32, and…