On April 08, 2014, AMD lauched R9 295X2, a dual R9 290X in a single PCB, with 11,6 TFlops.
http://www.ign.com/articles/2014/04/08/amd-radeon-r9-295x2-graphics-card-launching-april-21
You can pick up the R9 295X2 from retailers, starting April 21, for $1,500 USD
Feathercoin could switch to block retargeting to ever 2 blocks to prevent an attack when it occurs. Yes I agree the hashing algo should be changed but, for now a temp fix would be to retarget difficulty every two blocks. This would help so that when an evil miner hits the network with a 51 percent attack he/she cannot take full control of the block chain.
Not sure if Apriori could be used but, its a thought/suggestion.
Data Mining Algorithms on the Cell Broadband Engine
Rubing Duan and Alfred Strey
Institute of Computer Science, University of Innsbruck,
Technikerstrasse 21a, A-6020 Innsbruck, Austria
{rubing.duan,alfred.strey}@uibk.ac.at
Abstract. The Cell Broadband Engine (CBE) is a new heterogeneous multi-core processor from IBM, Sony and Toshiba, and provides the potential to achieve an impressive level of performance for data mining algorithms. In this paper, we describe our implementation of three important classes of data mining algorithms: clustering (k-Means), classification (RBF network), and association rule mining (Apriori) on the CBE. We explain our parallelization methodology and describe the exploitation of thread- and data-level parallelism in each of the three algorithms. Finally we present experimental results on the Cell hardware, where we could achieve a high performance of up to 10 GFLOP/s and a speedup of up to 40.
Keywords: Cell Broadband Engine, multi-core, k-Means, RBF, Apriori.
3.3 Apriori for Association Mining
Apriori is a classic data mining algorithm for learning association rules. Given a set of itemsets, the algorithm attempts to find subsets of k elements which are common to at least a minimum part minsup of the itemsets. The algorithm uses a bottom-up approach: in each iteration frequent subsets of k elements are extended to subsets of k + 1 elements (candidate generation, see Alg. 3), and groups of candidates are tested against the data. The algorithm terminates when no further successful extensions are found. The complete Apriori algorithm is presented in Alg. 3.
Source: http://forum.prisonplanet.com/index.php?topic=160968.0
FTC:
6u7Kz4h1rMzTCyGMAKW9ePeHGGsxZL67yh
tytytytytyvm for any FTC’s O0
On April 08, 2014, AMD lauched R9 295X2, a dual R9 290X in a single PCB, with 11,6 TFlops.
http://www.ign.com/articles/2014/04/08/amd-radeon-r9-295x2-graphics-card-launching-april-21
You can pick up the R9 295X2 from retailers, starting April 21, for $1,500 USD
Feathercoin could switch to block retargeting to ever 2 blocks to prevent an attack when it occurs. Yes I agree the hashing algo should be changed but, for now a temp fix would be to retarget difficulty every two blocks. This would help so that when an evil miner hits the network with a 51 percent attack he/she cannot take full control of the block chain.
Not sure if Apriori could be used but, its a thought/suggestion.
Data Mining Algorithms on the Cell Broadband Engine
Rubing Duan and Alfred Strey
Institute of Computer Science, University of Innsbruck,
Technikerstrasse 21a, A-6020 Innsbruck, Austria
{rubing.duan,alfred.strey}@uibk.ac.at
Abstract. The Cell Broadband Engine (CBE) is a new heterogeneous multi-core processor from IBM, Sony and Toshiba, and provides the potential to achieve an impressive level of performance for data mining algorithms. In this paper, we describe our implementation of three important classes of data mining algorithms: clustering (k-Means), classification (RBF network), and association rule mining (Apriori) on the CBE. We explain our parallelization methodology and describe the exploitation of thread- and data-level parallelism in each of the three algorithms. Finally we present experimental results on the Cell hardware, where we could achieve a high performance of up to 10 GFLOP/s and a speedup of up to 40.
Keywords: Cell Broadband Engine, multi-core, k-Means, RBF, Apriori.
3.3 Apriori for Association Mining
Apriori is a classic data mining algorithm for learning association rules. Given a set of itemsets, the algorithm attempts to find subsets of k elements which are common to at least a minimum part minsup of the itemsets. The algorithm uses a bottom-up approach: in each iteration frequent subsets of k elements are extended to subsets of k + 1 elements (candidate generation, see Alg. 3), and groups of candidates are tested against the data. The algorithm terminates when no further successful extensions are found. The complete Apriori algorithm is presented in Alg. 3.
Source: http://forum.prisonplanet.com/index.php?topic=160968.0
FTC:
6u7Kz4h1rMzTCyGMAKW9ePeHGGsxZL67yh
tytytytytyvm for any FTC’s O0
I am by no means new to the crypto world. I am Osiris. I am here to help the Feathercoin community to break mainstream. Fortunately FeatherCoin is not tarnished like Bitcoin which means it has hope for widespread adoption. Feathercoin also has a fair global supply. Tyvm for having me :D
FTC:
6u7Kz4h1rMzTCyGMAKW9ePeHGGsxZL67yh