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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)Fireiron: A Data-Movement-Aware Scheduling Language for GPUs., , , , and . PACT, page 71-82. ACM, (2020)Swizzle Inventor: Data Movement Synthesis for GPU Kernels., , , , , , , , , and . ASPLOS, page 65-78. ACM, (2019)Samurai: protecting critical data in unsafe languages., , and . EuroSys, page 219-232. ACM, (2008)Forma: a DSL for image processing applications to target GPUs and multi-core CPUs., , and . GPGPU@PPoPP, page 109-120. ACM, (2015)Graphene: An IR for Optimized Tensor Computations on GPUs., , , , , and . ASPLOS (3), page 302-313. ACM, (2023)Resource Conscious Reuse-Driven Tiling for GPUs., , , , , , and . PACT, page 99-111. ACM, (2016)JaBEE: framework for object-oriented Java bytecode compilation and execution on graphics processor units., , and . GPGPU@ASPLOS, page 74-83. ACM, (2012)Separate Compilation in a Language-Integrated Heterogeneous Environment., , , , and . LCPC, volume 8664 of Lecture Notes in Computer Science, page 121-135. Springer, (2013)