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Modular GPU Programming with Typed Perspectives (Video, PLDI 2026) Manya Bansal, Daniel Sainati, Joseph W. Cutler, Saman Amarasinghe, Jonathan Ragan-Kelley (Massachusetts Institute of Technology, USA; University of Pennsylvania, USA; University of Pennsylvania, USA; Massachusetts Institute of Technology, USA; Massachusetts Institute of Technology, USA) Abstract: To achieve peak performance on modern GPUs, one must balance two frames of mind: issuing instructions to individual threads to control their behavior, while simultaneously tracking the convergence of many threads acting in concert to perform collective operations like Tensor Core instructions. The tension between these two mindsets makes modular programming error prone. Functions that encapsulate collective operations, despite being called per-thread, must be executed cooperatively by groups of threads. In this work, we introduce Prism, a new GPU language that restores modularity while still giving programmers the low-level control over collective operations necessary for high performance. Our core idea is typed perspectives, which materialize, at the type level, the granularity at which the programmer is controlling the behavior of threads. We describe the design of Prism, implement a compiler for it, and lay its theoretical foundations in a core calculus called Bundl. We implement state-of-the-art GPU kernels in Prism and find that it offers programmers the safety guarantees needed to confidently write modular code without sacrificing performance. Article: https://doi.org/10.1145/3808290 Supplementary archive: https://doi.org/10.5281/zenodo.19079590 (Badges: Artifacts Available, Artifacts Evaluated — Reusable) ORCID: https://orcid.org/0009-0007-8570-1947, https://orcid.org/0009-0003-4738-8524, https://orcid.org/0000-0001-9399-9308, https://orcid.org/0000-0002-7231-7643, https://orcid.org/0000-0001-6243-9543 Video Tags: GPU programming, type systems, modularity, collective operations, doi:10.1145/3808290, doi:10.5281/zenodo.19079590, orcid:0009-0007-8570-1947, orcid:0009-0003-4738-8524, orcid:0000-0001-9399-9308, orcid:0000-0002-7231-7643, orcid:0000-0001-6243-9543, Artifacts Available, Artifacts Evaluated — Reusable Presentation at the PLDI 2026 conference, June 17-19, 2026, https://pldi26.sigplan.org/ Sponsored by ACM SIGPLAN. Key Highlights & Overview: Understanding <strong>Mp351 Developer</strong> is essential for modern technical workflows and software skills. Follow along with top-rated video tutorials from industry experts today on <strong>TutorTube</strong>.