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Forma: a DSL for image processing applications to target GPUs and multi-core CPUs.

, , and . GPGPU@PPoPP, page 109-120. ACM, (2015)

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Swizzle Inventor: Data Movement Synthesis for GPU Kernels., , , , , , , , , and . ASPLOS, page 65-78. ACM, (2019)CUDA: Compiling and optimizing for a GPU platform., , , , , , , , and . ICCS, volume 9 of Procedia Computer Science, page 1910-1919. Elsevier, (2012)Fireiron: A Data-Movement-Aware Scheduling Language for GPUs., , , , and . PACT, page 71-82. ACM, (2020)Diesel: DSL for linear algebra and neural net computations on GPUs., , , , and . MAPL@PLDI, page 42-51. ACM, (2018)CURD: a dynamic CUDA race detector., , and . PLDI, page 390-403. ACM, (2018)Separate Compilation in a Language-Integrated Heterogeneous Environment., , , , and . LCPC, volume 8664 of Lecture Notes in Computer Science, page 121-135. Springer, (2013)Fireiron: A Scheduling Language for High-Performance Linear Algebra on GPUs., , , , and . CoRR, (2020)Fusing convolution kernels through tiling., , and . ARRAY@PLDI, page 43-48. ACM, (2015)Effective resource management for enhancing performance of 2D and 3D stencils on GPUs., , , , , and . GPGPU@PPoPP, page 92-102. ACM, (2016)Probabilistic Programming with CuPPL., and . CoRR, (2020)