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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Guillermo, Alaejos | - |
| dc.contributor.author | Adrián, Castelló | - |
| dc.contributor.author | Héctor, Martínez | - |
| dc.date.accessioned | 2023-03-30T04:06:20Z | - |
| dc.date.available | 2023-03-30T04:06:20Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s11227-022-05003-3 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7328 | - |
| dc.description | CC BY | vi |
| dc.description.abstract | Our work exposes the structure of the template-based micro-kernels for ARM Neon (128-bit SIMD), ARM SVE (variable-length SIMD) and Intel AVX512 (512-bit SIMD), showing considerable performance for an NVIDIA Carmel processor (ARM Neon), a Fujitsu A64FX processor (ARM SVE) and on an AMD EPYC 7282 processor (256-bit SIMD). | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | template-based micro-kernels | vi |
| dc.subject | AMD EPYC | vi |
| dc.title | Micro-kernels for portable and efficient matrix multiplication in deep learning | vi |
| dc.type | Book | vi |
| Appears in Collections | OER - Công nghệ thông tin | |
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