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A critical insight! The community often chases GPU throughput without asking where parallelism actually applies. This highlights a long-overlooked bottleneck: r1cs.Solve is inherently sequential. No amount of GPU cores can fix that.
The future of zk acceleration may depend less on "brute force GPU" and more on algorithmic rethinking + CPU-level architectural design.
1.7. klo 11.47
🚀 AntChain OpenLabs @AntChainOpenLab & ZeroBase @zerobasezk 👀 Discovery: #GPUs' fatal flaw in Groth16 acceleration! ⚠️
⚡️ While #MSM/#NTT gain 100x+ speed, r1cs.Solve can't be parallelized and must be executed sequentially. 🤯 High-frequency multi-core CPUs outperform GPUs here. 💻🔥
As we look ahead, this finding signals a shift in how we approach zero-knowledge proof acceleration—favoring smart, parallelizable algorithms and flexible CPU-based architectures over GPU power. 💡
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