Analyses

Listing of Jupyter notebooks which can be launched, executed, and edited using Google's Colab. These notebooks contain various analyses of attributes across computer system data sets. Data is accessed using CSGenome API endpoints, then parsed and graphed using python.

Top500 Anaylsis

This analysis is meant to take a look at some of the overarching trends and relationships in the Top500 benchmark data. In order to do so, we access and retrieve the necessary data from the CSGenome API and first go through a quick cleaning...

Top500 Performance Development Analysis

One of the main characteristics defined in the Top500 dataset is the performance of each ranked supercomputer. Two specific attributes are ‘r_peak’ and ‘r_max’, which indicate the best theoretical performance and best measured performance levels...

Top500 Intel Share Development Analysis

In this analysis notebook, we want to take a look at the Intel processors within the Top500 benchmark data. Once we retrieve the specific section of the dataset and clean up some of the rows and values, we are able to perform some calculations. A good way to see...

Green500 Analysis

Green500 is a ranking of the computers from TOP500 in order of energy efficiency. The efficiency metric used for ranking is in millions of floating-point operations...

SPEC2000 Analysis

This notebook contains various points of analysis for our Spec 2000 benchmark API, so you can see what kind of data is stored...

SPEC2006 Integer Benchmark Analysis

An analysis of the SPEC2006 Integer benchmark over time. A similar visualization has been done by Stanford CPU DB...

SPEC2006 Parallelization Analysis

The Spec2006 benchmark data contains both floating-point and integer benchmark values; within these two categories, some of the benchmarks are also indicated as involving parallel processors or not. In this analysis, we want to compare the...

SPEC2017 Anaylsis

This visualization tracks the peak floating point rate over time. SPEC2017 is a widely used benchmark that measures and compares a...

Computer Memory Analysis

This analysis of computer memory shows known memory trends using datapoints from the CSGenome Database. Several different known trends are shown through this notebook, including the progression of memory type over time, along with ...

Clock Rate Analysis

Computers store their data in Random Access Memory (RAM) to execute programs, and they are important to the speed of computers since a major time consumption...

Database Makeup

The following notebook is used to show the extent of our database by displaying the number of records we have for select tables...