· devops
[Paper] SoK: Speedy Secure Finality
While Ethereum has successfully achieved dynamic availability together with safety, a fundamental delay remains between transaction execution and immutable fina...
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- · devops
Blockchain + AI Integration: The Architecture Nobody's Talking About
Walk into any tech conference today, and you'll hear buzzwords flying: AI this, blockchain that. But ask anyone about the actual architecture required to integr...
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[Paper] WOC: Dual-Path Weighted Object Consensus Made Efficient
Modern distributed systems face a critical challenge: existing consensus protocols optimize for either node heterogeneity or workload independence, but not both...
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Best of 2025: OpenAI Codex: Transforming Software Development with AI Agents
OpenAI has launched Codex, a cloud-based software engineering agent poised to revolutionize developers’ approaches to coding tasks. Powered by codex-1, a specia...
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[Paper] Resilient Packet Forwarding: A Reinforcement Learning Approach to Routing in Gaussian Interconnected Networks with Clustered Faults
As Network-on-Chip (NoC) and Wireless Sensor Network architectures continue to scale, the topology of the underlying network becomes a critical factor in perfor...
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Cómo solucionarlo con Terraform?
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[Paper] Predictive-LoRA: A Proactive and Fragmentation-Aware Serverless Inference System for LLMs
The serverless computing paradigm offers compelling advantages for deploying Large Language Model (LLM) inference services, including elastic scaling and pay-pe...
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[Paper] Reaching Agreement Among Reasoning LLM Agents
Multi-agent systems have extended the capability of agentic AI. Instead of single inference passes, multiple agents perform collective reasoning to derive high ...
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[Paper] SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication
Distributed Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental operation in numerous high-performance computing and deep learning applications. The maj...
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[Paper] Population Protocols Revisited: Parity and Beyond
For nearly two decades, population protocols have been extensively studied, yielding efficient solutions for central problems in distributed computing, includin...
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[Paper] FastMPS: Revisit Data Parallel in Large-scale Matrix Product State Sampling
Matrix Product State (MPS) is a versatile tensor network representation widely applied in quantum physics, quantum chemistry, and machine learning, etc. MPS sam...
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[Paper] Scaling Point-based Differentiable Rendering for Large-scale Reconstruction
Point-based Differentiable Rendering (PBDR) enables high-fidelity 3D scene reconstruction, but scaling PBDR to high-resolution and large scenes requires efficie...