Find out how we discovered 220 previously unknown bugs in C and C++ compilers!
SIGPLAN-M is a new international long-term mentoring program for aspiring and current PL researchers. Get a sense of what it’s about through the stories of one of our fantastic mentors.
The cost of inference is the primary barrier for wider application of probabilistic programming languages. How can we scale inference to truly huge programs?
How can we effectively test a complex quantum program state when the test operation is potentially destructive?
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Sometimes functions are not enough.
Calculating a greedy algorithm for an optimization problem, functionally.
Why reason *about* algorithms, when you can reason *with* them?
Todd Millstein is joining PL Perspectives as co-Editor.
Programming languages papers often talk about usability advantages, but the evaluation sections of these papers tend to focus on performance or semantic guarantees. What if we applied methods from user-centric research to choosing problems and evaluating solutions in PL?