LFortran: the Fastest Open-Source Compiler in Compile-Time Evaluation of an Array Benchmark
Posted on June 4, 2024
| 5 minutes
| 1062 words
| Harshita Kalani, Pranav Goswami, Parth Mistry, Ubaid Shaikh, Ondřej Čertík, Gaurav Dhingra, Thirumalai Shaktivel, Gagandeep Singh, Assem Medhat, Saurabh Kumar, Vipul Cariappa
After successful compilation of stdlib and Fortran On Web Using LFortran, we focused on improving the support for compile time computation and we are excited to announce that LFortran can now compile the example from the Computing at compile time Fortran Discourse topic.
This example can be used to benchmark the speed of compilation and compile-time array evaluation by increasing the size of the arrays. On this particular example LFortran outperforms other open-source Fortran compilers by an order of magnitude for large array sizes.
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Fortran On Web Using LFortran
Posted on May 2, 2024
| 2 minutes
| 377 words
| Ondřej Čertík, Gagandeep Singh, Ubaid Shaikh, Thirumalai Shaktivel, Pranav Goswami, Harshita Kalani, Parth Mistry, Gaurav Dhingra, Smit Lunagariya, Luthfan Lubis, Naman Gera, Zihua Wu, Khushi Agrawal, Christoph Junghans, Brian Beckman, Dylon Edwards
Fortran On Web Using LFortran Recently, there was a blog post titled Fortran on WebAssembly released by Dr George W Stagg. This article inspired us to compile the same example using our LFortran compiler. We are happy to share that we have the fortran mnist classifier example used in the blog post, compiled to WebAssembly using LFortran (with no hacks to the compiler) and working perfectly in the browser.
MNIST We cloned the original authors code and just swapped-in two of our generated files mnist.
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LFortran compiles Fortran stdlib
Posted on April 16, 2024
| 4 minutes
| 822 words
| Ondřej Čertík, Gagandeep Singh, Ubaid Shaikh, Thirumalai Shaktivel, Pranav Goswami, Harshita Kalani, Parth Mistry, Gaurav Dhingra, Smit Lunagariya, Luthfan Lubis, Naman Gera, Zihua Wu, Khushi Agrawal, Christoph Junghans, Brian Beckman, Dylon Edwards
LFortran compiles 85% Fortran stdlib We are happy to announce that LFortran can compile all numerical modules in stdlib. The stdlib library has 32 modules, here are the details of the current status:
all 32 modules compile to ASR 27 modules (85%) compile to LLVM; there are 4 hash modules (hash_32bit, hash_64bit, hashmaps, hashmap_wrappers, stringlist_type) and one stringlist_type module that does not compile to LLVM yet 24 modules pass all their tests; 3 modules (sorting, bitsets, stats) do not pass all tests yet, but simple examples that use the modules work This is sixth third-party production-grade code that LFortran can compile after SciPy.
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LFortran Compiles 60% of Scipy
Posted on January 10, 2024
| 5 minutes
| 891 words
| Ondřej Čertík, Pranav Goswami, Konrad Handrick, Harshita Kalani, Sarthak Gupta, Ubaid Shaikh, Gagandeep Singh, Thirumalai Shaktivel, Smit Lunagariya, Luthfan Lubis, Naman Gera, Zihua Wu, Khushi Agrawal, Christoph Junghans, Brian Beckman, Dylon Edwards, Rohit Goswami
LFortran Compiles 60% of SciPy With successful compilation of dftatom in October 2023, embarking to the new year with a remarkable stride, we are delighted to announce that LFortran can now successfully compile 9 out of the 15 Fortran packages within the SciPy library without requiring any modifications.
This is the fifth third-party production-grade code that LFortran can compile. The progress bar towards beta has thus reached 5/10.
LFortran can now compile and pass tests written for scipy.
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LFortran Compiles dftatom
Posted on October 31, 2023
| 8 minutes
| 1554 words
| Ondřej Čertík, Brian Beckman, Gagandeep Singh, Thirumalai Shaktivel, Ubaid Shaikh, Pranav Goswami, Luthfan Lubis, Harshita Kalani, Sarthak Gupta, Anutosh Bhat, Smit Lunagariya, Dylon Edwards, Virendra Kabra, Khushi Agrawal, Rohit Goswami
After compiling fastGPT in September 2023, today we are happy to announce that LFortran can compile and run dftatom without any modifications, and dftatom’s continuous integration (CI) now tests every commit with LFortran, along side GFortran.
This is the fourth full third-party production-grade code that LFortran can compile. The progress bar towards beta has thus reached 4/10.
It can compile the main application in Debug mode twice faster than GFortran. In Release mode the runtime performance is within a factor of 2x slower than GFortran’s Release mode (all optimizations on).
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LFortran Compiles fastGPT
Posted on September 6, 2023
| 5 minutes
| 911 words
| Ondřej Čertík, Brian Beckman, Pranav Goswami, Ubaid Shaikh, Gagandeep Singh, Smit Lunagariya, Thirumalai Shaktivel, Harshita Kalani, Sarthak Gupta, Luthfan Lubis, Anutosh Bhat, Virendra Kabra, Dylon Edwards
In our last blog post from May 2023, we announced that LFortran can compile legacy and modern Minpack. Today, we are happy to announce that LFortran can compile and run fastGPT.
This is the third code that LFortran can compile. The progress bar toward beta has progressed to 3/10.
LFortran is still alpha, meaning that users expect frequent bugs and breaking changes. Alpha users are enthusiastic partners in the effort to reach beta and they dilligently report issues.
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LFortran Breakthrough: Now Building Legacy and Modern Minpack
Posted on May 2, 2023
| 8 minutes
| 1570 words
| Ondřej Čertík, Brian Beckman, Gagandeep Singh, Thirumalai Shaktivel, Rohit Goswami, Smit Lunagariya, Ubaid Shaikh, Pranav Goswami
Two days ago on April 30, 2023 was the 4th anniversary of LFortran’s initial release. Our initial prototype in 2019 was in Python. Since then we have rewritten to C++ for speed and robustness. In 2021 we announced an MVP.
In this update, we are happy to announce that LFortran can compile and run both legacy and modern Minpack. We’ll start off by taking a look at the current compilation status and benchmarks of minpack.
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Why to Use Fortran For New Projects
Posted on May 7, 2019
| 3 minutes
| 448 words
| John Pask, Ondřej Čertík
We received a lot of positive feedback on our LFortran announcement. Most generally like the idea and tool, and expressed interest to hear a bit more on why we think Fortran is a superior language in its domain and why it makes sense to use Fortran for new projects.
Why Fortran? Fortran was designed from the ground up to naturally and simply translate mathematics to code that compiles and runs at maximum speed.
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Why We Created LFortran
Posted on April 30, 2019
| 6 minutes
| 1272 words
| Ondřej Čertík, Peter Brady, Pieter Swart
We recently open sourced LFortran, an interactive Fortran compiler built on top of LLVM that we have been developing for the last 1.5 years. It is a work in progress and at the link you can find what works already, what is planned and a roadmap.
Here is our motivation.
Why are almost no new scientific or engineering software projects started in Fortran? Usually (in our neck of the woods) C++ is chosen instead.
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