Tests were run 100 times using FastTree2 (double-precision version) on a server with eight Intel Xeon Gold 6242R CPU cores. (XLSX)</p
MotivationPhylogenetic tree optimization is necessary for precise analysis of evolutionary and trans...
<p>Time consumption of Multifind, LocARNATE+RNAz and RNAz on 100 Rfam alignments and 100 yeast align...
The continuous increase in volume, variety and velocity of Big Data exposes datacenter resource scal...
Tests were run on a server with 32 Intel Xeon Gold 6242 CPU cores for 10 repeated runs. TIPars took ...
Average running time and memory used for 9 100 genome samples into SARS2-100k reference tree.</p
We estimated the run time and peak memory usage for the two preprocessing steps by TIPars. The first...
<p>The plots show the CPU time (Intel Xeon E5-1620 with 3.70GHZ) for running the Net-RSTQ algorithm ...
Tests were run on a server with 64 Intel Xeon Gold 6242 CPU cores and 1500 GB RAM for 10 repeated ru...
This is the 100K-sample tree and 1M-sample tree used for benchmarking matOptimize and TNT
<p>(A) Memory consumption of the tested algorithms when mapping 75-nt reads to human genome. The mem...
(a) Number of variables against community size (total number of species). (b) The computation times ...
The Intel\uae Xeon Phi™ is gaining popularity for high-performance computing (HPC) applications, but...
Estimated gene trees (part 2 ) for the very large dataset, used for running time analysi
Latest development in the IQ-TREE software towards addressing some computational challenges in the n...
<p>The points represent the CPU running time (panel A) and RAM consumption (panel B) for reconstruct...
MotivationPhylogenetic tree optimization is necessary for precise analysis of evolutionary and trans...
<p>Time consumption of Multifind, LocARNATE+RNAz and RNAz on 100 Rfam alignments and 100 yeast align...
The continuous increase in volume, variety and velocity of Big Data exposes datacenter resource scal...
Tests were run on a server with 32 Intel Xeon Gold 6242 CPU cores for 10 repeated runs. TIPars took ...
Average running time and memory used for 9 100 genome samples into SARS2-100k reference tree.</p
We estimated the run time and peak memory usage for the two preprocessing steps by TIPars. The first...
<p>The plots show the CPU time (Intel Xeon E5-1620 with 3.70GHZ) for running the Net-RSTQ algorithm ...
Tests were run on a server with 64 Intel Xeon Gold 6242 CPU cores and 1500 GB RAM for 10 repeated ru...
This is the 100K-sample tree and 1M-sample tree used for benchmarking matOptimize and TNT
<p>(A) Memory consumption of the tested algorithms when mapping 75-nt reads to human genome. The mem...
(a) Number of variables against community size (total number of species). (b) The computation times ...
The Intel\uae Xeon Phi™ is gaining popularity for high-performance computing (HPC) applications, but...
Estimated gene trees (part 2 ) for the very large dataset, used for running time analysi
Latest development in the IQ-TREE software towards addressing some computational challenges in the n...
<p>The points represent the CPU running time (panel A) and RAM consumption (panel B) for reconstruct...
MotivationPhylogenetic tree optimization is necessary for precise analysis of evolutionary and trans...
<p>Time consumption of Multifind, LocARNATE+RNAz and RNAz on 100 Rfam alignments and 100 yeast align...
The continuous increase in volume, variety and velocity of Big Data exposes datacenter resource scal...
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