Custom SIMD kernels for ternary LLMs deliver 9.2x faster time-to-first-token, 52x higher throughput, and 14x memory reduction versus standard PyTorch on Apple Silicon and similar CPUs.
InAdvances in Neural Information Processing Systems (NIPS), 2015
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Litespark Inference on Consumer CPUs: Custom SIMD Kernels for Ternary Neural Networks
Custom SIMD kernels for ternary LLMs deliver 9.2x faster time-to-first-token, 52x higher throughput, and 14x memory reduction versus standard PyTorch on Apple Silicon and similar CPUs.