FTC-GNN is a TC-GNN-style framework that combines Tensor Cores and CUDA Cores for sparse GNN kernels, but its claimed AGNN speedup over DGL is contradicted by its own tables.
Blockchain-Based Secure Vehicle Auction System with Smart Contracts
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
The problem of a single point of failure in centralized systems poses a great challenge to the stability of such systems. Meanwhile, the tamperability of data within centralized systems makes users reluctant to trust and use centralized applications in many scenarios, including the financial and business sectors. Blockchain, as a new decentralized technology, addresses these issues effectively. As a typical decentralized system, blockchain can be utilized to build a data-sharing model. Users in a blockchain do not need to trust other users; instead, they trust that the majority of miner nodes are honest. Smart contracts enable developers to write distributed programs based on blockchain systems, ensuring that all code is immutable and secure. In this paper, we analyze the security of blockchain technology to illustrate its advantages and justify its use. Furthermore, we design a new system for storing and trading vehicle information based on the Ethereum blockchain and smart contract technology. Specifically, our system allows users to upload vehicle information and auction vehicles to transfer ownership. Our application provides great convenience to buyers and owners, while the use of smart contracts enhances the security and privacy of the system.
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cs.LG 1years
2024 1verdicts
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Accelerating Sparse Graph Neural Networks with Tensor Core Optimization
FTC-GNN is a TC-GNN-style framework that combines Tensor Cores and CUDA Cores for sparse GNN kernels, but its claimed AGNN speedup over DGL is contradicted by its own tables.