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Advancing Specialized Programming in Heterogeneous Parallelism for Modern Applications

The evolution of specialized systems is reshaping the landscape of programming. With the rise of heterogeneous parallelism and domain-specific languages (DSLs), the capabilities for data informatics, scientific engineering, and personal robotics are expanding rapidly. These practical frameworks, including CUDA, OpenCL, and DSL compilers, leverage high-performance architectures to optimize machine learning, data analytics, and more. Addressing the limitations of general-purpose languages, embedding languages like Scala and F# offer enhanced expressiveness while supporting advanced optimizations. This paradigm shift is not just a trend; it's becoming the norm.

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Advancing Specialized Programming in Heterogeneous Parallelism for Modern Applications

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  1. Specialized systems are Inevitable Already the norm Practical

  2. Heterogeneous parallelism

  3. Data informatics Scientific Engineering Personal Robotics Virtual Worlds Programming Heterogeneous Parallelism Applications New Arch. Heterogeneous Hardware 4

  4. Architecture Specific Programming Models CUDA OpenCL Threads OpenMP MPI Hadoop Verilog VHDL

  5. High Performance But Low Productivity

  6. Data informatics Scientific Engineering Personal Robotics Virtual Worlds General-Purpose Languages Applications Scala Java Not enough semantic knowledge to compile automatically No restrictions Python C++ Ruby Clojure New Arch. Heterogeneous Hardware

  7. Make Specialized PL Practical Inevitable Already the norm Practical

  8. Domain Specific Languages • Domain Specific Languages (DSLs) • Programming language with restricted expressiveness for a particular domain • High-level, usually declarative, and deterministic Most Science apps start with this PL Most popular parallel PL Enabled GPU innovation

  9. Machine Learning (OptiML) DSL Compiler DSL Compiler DSL Compiler DSL Compiler DSL Compiler Data informatics Scientific Engineering Data Analytics (OptiQL) Graph Alg. (Green Marl) Statistics (R) Physics (Liszt) Personal Robotics Virtual Worlds High Performance Domain-Specific Languages Applications Domain- Specific Languages New Arch. Heterogeneous Hardware

  10. HP DSLs Will Be Practical Embedded DSLs Flexible embedding languages: Scala, F# Metaprogramming (aka staging) Blurring line between libraries and languages DSL Frameworks Support domain specific optimizations Support parallelism and locality optimizations Multiple backends e.g. Spoofax, Rose, Delite, Terra/Lua

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