added Intel Atom C2758

README.md

@@ -3,12 +3,13 @@ Andrzej Wójtowicz
 
 [![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.57910.svg)](http://dx.doi.org/10.5281/zenodo.57910)
 
-Document generation date: 2016-07-14 17:20:41
+Document generation date: 2016-11-25 13:00:18
 
 This document presents timing results for BLAS ([Basic Linear Algebra Subprograms](https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms)) libraries in [R](https://en.wikipedia.org/wiki/R_(programming_language)) on diverse CPUs and GPUs.
 
 ### Changelog
 
+ * 2016-11-25: **results:** added Intel Atom C2758.
  * 2016-07-14: **results:** added Intel Core i5-6500; changed results view of gcbd benchmark to relative performance gain; changed reference CPU (Intel Pentium Dual-Core E5300) and GPU (NVIDIA GeForce GT 630M); **code:** fixed target architecture detection for Intel Core i5-6500-like CPUs in multi-threaded Atlas library; added info how to force target architecture in GotoBLAS2 and BLIS libraries.
 
 
@@ -25,6 +26,7 @@ This document presents timing results for BLAS ([Basic Linear Algebra Subprogram
     * [Intel Core i3-2120](#intel-core-i3-2120)
     * [Intel Core i3-3120M](#intel-core-i3-3120m)
     * [Intel Core i5-3317U + NVIDIA GeForce GT 630M](#intel-core-i5-3317u--nvidia-geforce-gt-630m)
+    * [Intel Atom C2758](#intel-atom-c2758)
     * [Intel Pentium Dual-Core E5300](#intel-pentium-dual-core-e5300)
  3. [Results per library](#results-per-library)
     * [Netlib](#netlib)
@@ -66,7 +68,8 @@ This document presents timing results for BLAS ([Basic Linear Algebra Subprogram
 |6.|[Intel Core i3-2120](http://ark.intel.com/products/53426/Intel-Core-i3-2120-Processor-3M-Cache-3_30-GHz)| - |
 |7.|[Intel Core i3-3120M](http://ark.intel.com/products/71465/Intel-Core-i3-3120M-Processor-3M-Cache-2_50-GHz)| - |
 |8.|[Intel Core i5-3317U](http://ark.intel.com/products/65707/Intel-Core-i5-3317U-Processor-3M-Cache-up-to-2_60-GHz)|[NVIDIA GeForce GT 630M](http://www.geforce.com/hardware/notebook-gpus/geforce-gt-630m/specifications)|
-|9.|[Intel Pentium Dual-Core E5300](http://ark.intel.com/products/35300/Intel-Pentium-Processor-E5300-2M-Cache-2_60-GHz-800-MHz-FSB)| - |
+|9.|[Intel Atom C2758](http://ark.intel.com/products/77988/Intel-Atom-Processor-C2758-4M-Cache-2_40-GHz)| - |
+|10.|[Intel Pentium Dual-Core E5300](http://ark.intel.com/products/35300/Intel-Pentium-Processor-E5300-2M-Cache-2_60-GHz-800-MHz-FSB)| - |
 
 **Benchmarks**: [R-benchmark-25](http://r.research.att.com/benchmarks/R-benchmark-25.R), [Revolution](https://gist.github.com/andrie/24c9672f1ea39af89c66#file-rro-mkl-benchmark-r), [Gcbd](https://cran.r-project.org/web/packages/gcbd/vignettes/gcbd.pdf).
 
@@ -1180,7 +1183,7 @@ Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs -
 
 
 
-## Intel Pentium Dual-Core E5300
+## Intel Atom C2758
 
 
 
@@ -1204,8 +1207,6 @@ Time in seconds - 10 runs - lower is better
 
 #### Eigenvalues of a 600x600 random matrix 
 
-BLIS hangs in this test
-
 Time in seconds - 10 runs - lower is better
 
 ![](gen/img/img_ph_h9_b1_t3.png)
@@ -1214,6 +1215,8 @@ Time in seconds - 10 runs - lower is better
 
 #### Determinant of a 2500x2500 random matrix 
 
+ATLAS (mt) crashes in this test
+
 Time in seconds - 10 runs - lower is better
 
 ![](gen/img/img_ph_h9_b1_t4.png)
@@ -1230,6 +1233,8 @@ Time in seconds - 10 runs - lower is better
 
 #### Inverse of a 1600x1600 random matrix 
 
+ATLAS (mt) crashes in this test
+
 Time in seconds - 10 runs - lower is better
 
 ![](gen/img/img_ph_h9_b1_t6.png)
@@ -1314,12 +1319,154 @@ Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs -
 
 #### Triangular Decomposition 
 
+ATLAS (mt) crashes in this test
+
 Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better
 
 ![](gen/img/img_ph_h9_b3_t4.png)
 
 
 
+## Intel Pentium Dual-Core E5300
+
+
+
+### R-benchmark-25
+
+#### 2800x2800 cross-product matrix 
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b1_t1.png)
+
+
+
+#### Linear regr. over a 2000x2000 matrix 
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b1_t2.png)
+
+
+
+#### Eigenvalues of a 600x600 random matrix 
+
+BLIS hangs in this test
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b1_t3.png)
+
+
+
+#### Determinant of a 2500x2500 random matrix 
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b1_t4.png)
+
+
+
+#### Cholesky decomposition of a 3000x3000 matrix 
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b1_t5.png)
+
+
+
+#### Inverse of a 1600x1600 random matrix 
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b1_t6.png)
+
+
+
+#### Escoufier's method on a 45x45 matrix 
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b1_t7.png)
+
+
+
+### Revolution benchmark
+
+#### Matrix Multiply 
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b2_t1.png)
+
+
+
+#### Cholesky Factorization 
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b2_t2.png)
+
+
+
+#### Singular Value Deomposition 
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b2_t3.png)
+
+
+
+#### Principal Components Analysis 
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b2_t4.png)
+
+
+
+#### Linear Discriminant Analysis 
+
+Time in seconds - 10 runs - lower is better
+
+![](gen/img/img_ph_h10_b2_t5.png)
+
+
+
+### Gcbd benchmark
+
+#### Matrix Multiply 
+
+Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better
+
+![](gen/img/img_ph_h10_b3_t1.png)
+
+
+
+#### QR Decomposition 
+
+Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better
+
+![](gen/img/img_ph_h10_b3_t2.png)
+
+
+
+#### Singular Value Deomposition 
+
+Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better
+
+![](gen/img/img_ph_h10_b3_t3.png)
+
+
+
+#### Triangular Decomposition 
+
+Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better
+
+![](gen/img/img_ph_h10_b3_t4.png)
+
+
+
 
 # Results per library
 
@@ -1769,6 +1916,8 @@ Time in seconds - 10 runs - lower is better
 
 #### Determinant of a 2500x2500 random matrix 
 
+Library crashes on Intel Atom C2758 in this test
+
 Time in seconds - 10 runs - lower is better
 
 ![](gen/img/img_pl_l4_b1_t4.png)
@@ -1785,6 +1934,8 @@ Time in seconds - 10 runs - lower is better
 
 #### Inverse of a 1600x1600 random matrix 
 
+Library crashes on Intel Atom C2758 in this test
+
 Time in seconds - 10 runs - lower is better
 
 ![](gen/img/img_pl_l4_b1_t6.png)
@@ -1869,6 +2020,8 @@ Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E530
 
 #### Triangular Decomposition 
 
+Library crashes on Intel Atom C2758 in this test
+
 Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better
 
 ![](gen/img/img_pl_l4_b3_t4.png)
@@ -2175,7 +2328,7 @@ Time in seconds - 10 runs - lower is better
 
 #### Eigenvalues of a 600x600 random matrix 
 
-Intel Pentium Dual-Core E5300 hangs in this test
+Library hangs on Intel Pentium Dual-Core E5300 in this test
 
 Time in seconds - 10 runs - lower is better