Hardware Generation on Trigonometric Functions

This paper presents hardware generation for accelerating various floating-point (FP) trigonometric functions, including sine, cosine, and arctangent. The Chisel Hardware Construction Language (HCL) is used to develop parameterized and flexible designs for these functions. The hardware generator supports multiple design architectures with configurable parameters, such as precision (e.g., 16-bit, 32-bit, 64-bit, and 128-bit), iteration count, and pipeline depth, allowing for customization of hardware resource utilization, latency, speed, and accuracy.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825243
Citations
2
Primary Topic
Numerical Methods and Algorithms
Type
article
Field-Weighted Citation Impact
0.72

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article

Hardware Generation on Trigonometric Functions

Paul Wong, Xiaokun Yang, Xuechen Zhang, Dania Susanne Mosuli
2 citations
Numerical Methods and Algorithms
0.72
article

Hardware Generation on Trigonometric Functions

Paul Wong, Xiaokun Yang, Xuechen Zhang, Dania Susanne Mosuli
article en
2 citations

Abstract

This paper presents hardware generation for accelerating various floating-point (FP) trigonometric functions, including sine, cosine, and arctangent. The Chisel Hardware Construction Language (HCL) is used to develop parameterized and flexible designs for these functions. The hardware generator supports multiple design architectures with configurable parameters, such as precision (e.g., 16-bit, 32-bit, 64-bit, and 128-bit), iteration count, and pipeline depth, allowing for customization of hardware resource utilization, latency, speed, and accuracy.

Washington State University Vancouver (US), University of Houston - Clear Lake (US)
National Science Foundation
Openalex Percentile: Top 24%
Numerical Methods and Algorithms
0.72
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