Parallel Frequent Patterns Mining Algorithm on GPU 09:00 Welcome, introduction, results of the global experiments 10:30 Coffee break 11:00 Panel Session I (session chair: tba) "A fast APRIORI implementation", by Ferenc Bodon "Efficient Implementations of Apriori and Eclat", by Christian ......
Association rule miningFrequent itemset miningCUDA GPU computingParallel computingIn this paper we describe a new parallel Frequent Itemset Mining algorithm called "Frontier Expansion." This implementation is optimized to achieve high performance on a heterogeneous platform consisting of a shared memory ...
The Iron Fish (IRON) mainnet will perform ahard fork upgradeat block height 503,338, expected to take place on 2024-04-02. As a result, the IRON mining algorithm will shift from Blake3 to FishHash. This new FishHash algorithm supports GPU mining and requires a memory of at least...
As a result, CISC architectures are often able to perform an algorithm in less instructions than a RISC architecture, since one CISC instruction can perform the equivalent work of multiple RISC instructions. On the other hand, due to the simplified nature of their instructions, RISC architectures ...
To run RandomX algorithm, you will need to enable huge pages and set up swap space. There are two commands to do this under msOS: hugepagesto set up hugepages or toggle between smaller (128) and bigger (1169) settings. mswap create 16384which will create 16GB swap space. Change the nu...
Data miningFrequent itemsetGPGPUOpenCL随着当今信息技术的高速发展,人们日常生产生活中产生的数据量呈现出爆发式增长。因此,对于海量数据集的处理已成为数据挖掘技术的... 李忆 - 重庆大学 被引量: 0发表: 2013年 Frequent Pattern-growth Algorithm on Multi-core CPU and GPU Processors frequent itemset miningG...
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Hard Crypto|Mining At Home|8 GPU Support:Equipped with 8 PCIe slots, this motherboard is designed for high-performance crypto mining. 64GB MSATA SSD:Includes a 64GB MSATA SSD for quick boot-ups and efficient data storage in your mining rig. ...
GMiner: A Fast GPU-based Frequent Itemset Mining Method for Large-scale Data ☆Frequent itemset miningGraphics processing unitParallel algorithmWorkload skewnessFrequent itemset mining is widely used as a fundamental data mining technique. However, as the data size increases, the relatively slow ...
GTX280GPUandaquad-coreCPU. 1.INTRODUCTION Frequentitemsetmining(FIM)aimsatfindinginterest- ingpatternsfromdatabases,orcalledtransactiondatabases. Eachdatabasetransactioncontainsasetofitems,suchas groceryitemspurchasedinabasket.AFIMalgorithm scansthedatabase,possiblymultipletimes,andfindsitem- ...