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zeekayandHanzo Dev dced1dcfb9 Publish under the org, not a person
Bylines, paper authorship, correspondence addresses and the founder blurb under
each post named an individual. They name the organisation that published the
work instead: the brand on posts and pages, the research byline on papers, and
research@ in place of a personal address. Both are what these repositories
already used elsewhere — nothing new was coined.

Co-authors are untouched. Where a paper named someone else alongside, they stay
named; only the one byline changed. Bibliography entries, running heads,
PDF metadata and affiliations move with it, so a citation still resolves to
whoever the cited paper names.

Sample and fixture data uses the placeholder name these tests already use
elsewhere, so no assertion changed meaning.

Co-authored-by: Hanzo Dev <[email protected]>
2026-09-01 08:55:40 -07:00

75 lines
2.7 KiB
TeX

\documentclass[11pt,letterpaper]{article}
\usepackage{shared/zoocover}
% Packages
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage{amsmath,amssymb,amsthm}
\usepackage{algorithm}
\usepackage{algorithmic}
\usepackage{graphicx}
\usepackage{hyperref}
\usepackage{xcolor}
\usepackage{booktabs}
\usepackage{tikz}
\usepackage{pgfplots}
\pgfplotsset{compat=1.18}
\usetikzlibrary{shapes,arrows,positioning,calc}
\usepackage{listings}
\usepackage{caption}
\usepackage{subcaption}
% geometry loaded by zoocover
% Theorem environments
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{definition}{Definition}[section]
% Custom commands
\newcommand{\Zoo}{\textsc{Zoo}}
\newcommand{\Lux}{\textsc{Lux}}
\newcommand{\PoAI}{\textsc{PoAI}}
\newcommand{\TPS}{\textsc{tps}}
\newcommand{\EVM}{\textsc{evm}}
% Hyperref setup
\hypersetup{
colorlinks=true,
linkcolor=blue,
citecolor=blue,
urlcolor=blue
}
\title{\textbf{Zoo EVM Performance: GPU-Accelerated Execution on a Conservation-First L2}}
\author{
Zoo Labs Foundation Research\thanks{[email protected]}\\
\textit{Zoo Labs Foundation}\\
\texttt{[email protected]}
}
\date{December 2025}
\begin{document}
\zoocoverpage
\begin{abstract}
We present performance benchmarks for the Zoo Network EVM, a conservation-focused L2 on Lux Network (chain ID 200200) that inherits the Lux C++ EVM with GPU shader acceleration. The Zoo EVM achieves a 1 billion gas block limit, processing up to 47,619 simple transactions per block. With GPU-parallel opcode execution, the EVM reaches 47.6 million transactions per second (TPS) in raw execution throughput, and 4.76 million TPS when bounded by Quasar consensus finality at 10ms. We benchmark the Zoo EVM across five workload categories: token transfers, AMM swaps, AI inference precompile calls, FHE operations, and complex DeFi interactions. The PoAI consensus layer adds AI compute verification overhead of 3--8\% depending on workload type. We compare Zoo EVM performance against Ethereum L2s (Arbitrum, Optimism, Base) and demonstrate 200--1,000$\times$ throughput improvements, attributable to GPU execution and Quasar's sub-second finality. All benchmarks are reproducible on Zoo testnet.
\textbf{Keywords}: EVM performance, GPU acceleration, blockchain throughput, Zoo Network, conservation L2
\end{abstract}
\input{sections/01-introduction}
\input{sections/02-architecture}
\input{sections/03-benchmarks}
\input{sections/04-poai-consensus-overhead}
\input{sections/05-comparison-with-ethereum-l2s}
\input{sections/06-ai-workload-profiling}
\input{sections/07-scalability-analysis}
\input{sections/08-related-work}
\input{sections/09-conclusion}
\input{sections/99-acknowledgments}
\end{document}