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Domain-specific multi-level IR rewriting for GPU: The Open Earth compiler for GPU-accelerated climate simulation
Most compilers have a single core intermediate representation (IR)(eg, LLVM) sometimes
complemented with vaguely defined IR-like data structures. This IR is commonly low-level …
complemented with vaguely defined IR-like data structures. This IR is commonly low-level …
AN5D: automated stencil framework for high-degree temporal blocking on GPUs
Stencil computation is one of the most widely-used compute patterns in high performance
computing applications. Spatial and temporal blocking have been proposed to overcome the …
computing applications. Spatial and temporal blocking have been proposed to overcome the …
[HTML][HTML] Efficient simulation execution of cellular automata on GPU
Abstract Graphics Processing Units (GPUs) can be used as convenient hardware
accelerators to speed up Cellular Automata (CA) simulations, which are employed in many …
accelerators to speed up Cellular Automata (CA) simulations, which are employed in many …
Toward accelerated stencil computation by adapting tensor core unit on gpu
The Tensor Core Unit (TCU) has been increasingly adopted on modern high performance
processors, specialized in boosting the performance of general matrix multiplication …
processors, specialized in boosting the performance of general matrix multiplication …
Scalable Tuning of (OpenMP) GPU Applications via Kernel Record and Replay
HPC is a heterogeneous world in which host and device code are interleaved throughout
the application. Given the significant performance advantage of accelerators, device code …
the application. Given the significant performance advantage of accelerators, device code …
A μ-mode integrator for solving evolution equations in Kronecker form
In this paper, we propose a μ-mode integrator for computing the solution of stiff evolution
equations. The integrator is based on a d-dimensional splitting approach and uses exact …
equations. The integrator is based on a d-dimensional splitting approach and uses exact …
On optimizing complex stencils on GPUs
Stencil computations are often the compute-intensive kernel in many scientific applications.
With the increasing demand for computational accuracy, and the emergence of massively …
With the increasing demand for computational accuracy, and the emergence of massively …
A versatile software systolic execution model for GPU memory-bound kernels
This paper proposes a versatile high-performance execution model, inspired by systolic
arrays, for memory-bound regular kernels running on CUDA-enabled GPUs. We formulate a …
arrays, for memory-bound regular kernels running on CUDA-enabled GPUs. We formulate a …
Automated code generation of high-order stencils for a dataflow architecture
Finite-difference methods based on high-order stencils are widely used in seismic
simulations, weather forecasting, and computational fluid dynamics. Recently, multiple …
simulations, weather forecasting, and computational fluid dynamics. Recently, multiple …
Accelerating high-order stencils on GPUs
While implementation strategies for low-order stencils on GPUs have been well-studied in
the literature, not all of the techniques work well for high-order stencils, such as those used …
the literature, not all of the techniques work well for high-order stencils, such as those used …