arXiv
Open Access
2016
Customizable Precision of Floating-Point Arithmetic with Bitslice Vector Types
Shixiong Xu
David Gregg
Abstrak
Customizing the precision of data can provide attractive trade-offs between accuracy and hardware resources. We propose a novel form of vector computing aimed at arrays of custom-precision floating point data. We represent these vectors in bitslice format. Bitwise instructions are used to implement arithmetic circuits in software that operate on customized bit-precision. Experiments show that this approach can be efficient for vectors of low-precision custom floating point types, while providing arbitrary bit precision.
Topik & Kata Kunci
Penulis (2)
S
Shixiong Xu
D
David Gregg
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2016
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- en
- Sumber Database
- arXiv
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- Open Access ✓