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GPU mining is the use of Graphics Processing Units (GPUs) to "mine" proof-of-work cryptocurrencies, such as Bitcoin. [1] Miners receive rewards for performing computationally intensive work, such as calculating hashes, that amend and verify transactions on an open and decentralized ledger.
The proof-of-work distributed computing schemes, including Bitcoin, frequently use cryptographic hashes as a proof-of-work algorithm. Hashrate is a measure of the total computational power of all participating nodes expressed in units of hash calculations per second.
The Graph was launched on the Ethereum blockchain in 2018 by Yaniv Tal, Brandon Ramirez and Jannis Pohlman. In June 2020, The Graph raised $5 million in a token sale to Framework Ventures, Coinbase Ventures, CoinDesk parent Digital Currency Group, Multicoin Capital, DTC Capital, and others. [2]
A Bitcoin mining rig composed of dozens of graphics processing units. DApps distribute their tokens through three main mechanisms: mining, fund-raising and development. [7] In mining, tokens are distributed as per a predetermined algorithm as rewards to miners that secure the network through transaction verification. [7]
In the context of cryptocurrency mining, a mining pool is the pooling of resources by miners, who share their processing power over a network, to split the reward equally, according to the amount of work they contributed to the probability of finding a block. A "share" is awarded to members of the mining pool who present a valid partial proof ...
Polygon (formerly Matic Network) is a blockchain platform which aims to create a multi-chain blockchain system compatible with Ethereum. As with Ethereum, it uses a proof of stake consensus mechanism for processing transactions on-chain. Polygon's native token is POL, an ERC-20 token which allows for compatibility with other Ethereum ...
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
Geekbench began as a benchmark for Mac OS X and Windows, [3] and is now a cross-platform benchmark that supports macOS, Windows, Linux, Android and iOS. [4] In version 4, Geekbench started measuring GPU performance in areas such as image processing and computer vision. [5] In version 5, Geekbench dropped support for IA-32. [6]