Home AI Hacker News HyperFoldUK/sparse-ternary-fma: Optimized High-Performance Ternary Arithmetic Kernel with 2-Bit Encoding and AVX-512 SIMD...

HyperFoldUK/sparse-ternary-fma: Optimized High-Performance Ternary Arithmetic Kernel with 2-Bit Encoding and AVX-512 SIMD Acceleration for FHE and AI Applications

0

Unlocking the Future of AI with Efficient FHE

Fully Homomorphic Encryption (FHE) is poised to transform secure computing, yet significant performance bottlenecks have limited its adoption. Enter the sparse-ternary-fma kernel, a cutting-edge solution that enhances TFHE efficiency with remarkable innovations:

  • 2-Bit Ternary Encoding: Dramatically improves data density, packing 256 trits into a single 512-bit vector, yielding 4x-16x gains.
  • Sparse Processing: Optimizes processing by focusing on non-zero elements, offering speedups over 16x in typical key distributions.
  • SIMD Acceleration: Utilizes advanced AVX-512 architecture to enhance throughput by 2.38x.

Performance Proof: Benchmarks reveal substantial improvements in throughput and latency, paving the way for next-gen applications in AI and FHE.

This open-source kernel is not just a breakthrough but an invitation to collaborators. Join our mission at HyperFold Technologies to revolutionize AI and secure computing!

🚀 Like and share this post to spread the word on this groundbreaking advancement!

Source link

NO COMMENTS

Exit mobile version