Files
zeekay f4ee7a0525 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.
2026-09-01 08:58:10 -07:00

109 lines
4.2 KiB
TeX

\documentclass[11pt,letterpaper]{article}
\usepackage{../shared/luxcover}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage{amsmath,amssymb,amsfonts,amsthm}
\usepackage{mathtools}
\usepackage{graphicx}
\usepackage{booktabs}
\usepackage{hyperref}
\usepackage{enumitem}
\usepackage{algorithm}
\usepackage{algorithmic}
\usepackage{xcolor}
\usepackage{listings}
\usepackage{tikz}
\usepackage{float}
\usepackage{array}
\usepackage{multirow}
\input{../shared/lstlang}
\hypersetup{colorlinks=true,linkcolor=black,citecolor=blue,urlcolor=blue}
\lstset{
basicstyle=\ttfamily\scriptsize,
breaklines=true,
frame=single,
numbers=left,
numberstyle=\tiny\color{gray},
keywordstyle=\color{blue!70!black}\bfseries,
commentstyle=\color{green!50!black}\itshape,
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showstringspaces=false,
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\newtheorem{theorem}{Theorem}
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{corollary}[theorem]{Corollary}
\newtheorem{definition}{Definition}
\newtheorem{remark}{Remark}
\title{Lux Lightspeed DEX: High-Frequency Trading at the Speed of Light}
\author{
Lux Research\thanks{Corresponding author: [email protected]}\\
\textit{Lux Industries, Inc.}\\
\texttt{[email protected]}
}
\date{}
\begin{document}
\luxcoverpage
\begin{abstract}
We present \textbf{Lux Lightspeed DEX}, a decentralized exchange whose matching
engine \emph{is} a chain. The DEX is the \textbf{D-Chain}: a single-operator
high-frequency-trading consensus chain with its own consensus, \texttt{zapdb}
persistence, and an execution-root state commitment, and the only place orders
match or DEX state lives. A stateless \textbf{atomic ZAP proxy} (\texttt{chains/dexvm})
on the public Lux network relays orders to the D-Chain and moves value atomically
via shared-memory import/export, holding no order book of its own. The design is
\emph{decomplected}: matching and state in one home, atomic transport in another,
the client wrapper in a third, and an EVM CLOB facade (precompile \texttt{0x9999})
in a fourth. Determinism is enforced by running the matcher inside
\texttt{Block.Verify} against a versioned overlay, committing to \texttt{zapdb} at
\texttt{Accept}, with the proposer relaying once at block build and carrying the
fills in the block bytes---no per-validator divergence.
We report \textbf{measured}, byte-parity-gated benchmarks on real hardware. A tuned,
byte-exact \texttt{uint256} GPU CLOB matcher (coalesced structure-of-arrays layout)
sustains \textbf{9.13\,B orders/sec} on an NVIDIA GB10 (from a 1.54\,B un-coalesced
baseline), \textbf{5.60\,B orders/sec} on an Apple M4 Max, \textbf{2.80\,B orders/sec}
on an Apple M1 Max, and \textbf{12.76\,B orders/sec} on an AMD Radeon 8060S---the
fastest device measured---byte-identical to a CPU reference oracle across millions of
fuzz cases. A single device therefore clears $10^{9}$ orders/sec per venue on its own;
a two-node fabric aggregates linearly to \textbf{21.9\,B orders/sec}. Settlement via
market-sharded Block-STM detects conflicts at 2.2\,M fills/s (CPU), byte-identical to
the GPU conflict-detection kernel. Per-market trade batches roll up to the Z-Chain,
which verifies one proof per $K$ trades: P3Q (ML-DSA-65 attestation) at 4{,}714
verifies/s and \texttt{starkfri} (STARK/FRI validity proof) at 986 verifies/s for a
toy AIR. Matching throughput and settlement \emph{finality} are separate axes: the
per-device matcher clears billions of orders/sec, while the rollup clears $10^{9}$
settled-tx/s on the finality axis at fleet scale.
\textbf{Keywords}: decentralized exchange, high-frequency trading, order matching,
MEV resistance, GPU acceleration, rollup, Block-STM
\end{abstract}
\input{sections/01-introduction}
\input{sections/02-architecture}
\input{sections/03-consensus-determinism}
\input{sections/04-mev-resistance}
\input{sections/05-cross-chain-swaps}
\input{sections/06-precompile-clob-facade}
\input{sections/07-gpu-matching}
\input{sections/08-settlement-blockstm}
\input{sections/09-rollup-zchain}
\input{sections/10-benchmarks}
\input{sections/11-security}
\input{sections/12-economic-model}
\input{sections/13-related-work}
\input{sections/14-future-work}
\input{sections/15-conclusion}
\input{sections/99-acknowledgments}
\end{document}