ntnu-hpc-lab / bat Goto Github PK
View Code? Open in Web Editor NEWA GPU benchmark suite for autotuners
License: MIT License
A GPU benchmark suite for autotuners
License: MIT License
One of the goals of BAT is to facilitate comparison between different tuners. However, in the current state of the code such comparisons are difficult because the codes for different tuners actually tune rather different things. To illustrate with an example, for the sort benchmark:
To be able to use BAT for meaningful comparisons of search strategies in implemented in different tuners, it is necessary to ensure that the scripts that call the different tuners all tune the same problem.
In addition, in situations where kernel performance may depend on the data, which is likely the case in at least the BFS benchmark (and possibly also in others, I haven't checked all yet), it is also important that all tuners tune the exact same problem using the same input data, which is currently not the case for BFS.
We have discussed these issues this morning in an online meeting with @odgaard and we are of course very interested in contributing to solving these issues. I'm creating this issue in the first place to have a public record of our discussion.
One way to solve this problem is to write down the exact requirements of each tuning problem in the benchmark suite, detailing which kernel, which parameters, which input data, and so on. If we have that specification we can implement the necessary scripts for as many tuners as possible. Likely this will mean that we focus on tuning exactly 1 kernel in each benchmark, since not all tuners support tuning host code and not all tuners support tuning pipelines. Tuning exactly 1 kernel in each benchmark seems to be the one common supported use case.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.