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Hi, I'm trying to run GraphReduce for comparison purpose. My environment is K40c + CUDA 8.0 + gcc 4.8.5 + ubuntu 14.04.
It seems like GraphReduce requires external dependencies. But I'm not sure wha…
sgpyc updated
7 years ago
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Hello,
There is no error that i can log here. but I have followed the documentation as-is.
_Test-machine - I have a small ubuntu instance with RAM 4.9GB, 2 VCPUs and 10GB ssd._
I have tried with …
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The PageRank algorithm returns a graph, while the other similar graph operations (degree, connected components etc.) all return a DataFrame with 2 columns, the vertices and the corresponding statistic…
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pageRank run 12 times slower with 0.5 compared to 0.4. What could be a reason?
Is other graph algorithms affected?
```
def time[A](f: => A) = {val s = System.nanoTime; val ret = f; println("time: "…
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When running PageRank on graphframe using PySpark the disconnected components in a graph are skipped. When running via Scala it works perfectly.
./spark-2.3.1-bin-hadoop2.7/bin/pyspark --package…
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Hi,
Thanks for the code, but I noticed that your normalization is incorrect. For correct pagerank calculation, the matrix should be column stochastic, that is the sum of all the values in a column mu…
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```
Looking at this code snippet from example_apps/pagerank.cpp
-- -- >8 -- -- >8 -- -- >8 -- -- >8 -- -- >8 -- -- >8 -- -- >8
#define RANDOMRESETPROB 0.15
// ...
struct PagerankProgram :
public…
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```
Looking at this code snippet from example_apps/pagerank.cpp
-- -- >8 -- -- >8 -- -- >8 -- -- >8 -- -- >8 -- -- >8 -- -- >8
#define RANDOMRESETPROB 0.15
// ...
struct PagerankProgram :
public…
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---
/\* The scatter edges depend on whether the pagerank has converged */
edge_dir_type scatter_edges(icontext_type& context,
const vertex_type& vertex) const {
//…
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```
Looking at this code snippet from example_apps/pagerank.cpp
-- -- >8 -- -- >8 -- -- >8 -- -- >8 -- -- >8 -- -- >8 -- -- >8
#define RANDOMRESETPROB 0.15
// ...
struct PagerankProgram :
public…