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Tensor Core Unit (TCU) is increasingly integrated into modern high-performance processors to enhance matrix multiplication performance. However, constrained to its over-specification, its potential for improving other critical scientific operations like ...

Fast and accurate climate simulations and weather predictions are critical for understanding and preparing for the impact of climate change. Real-world climate and weather simulations involve the use of complex compound stencil kernels, which are ...

The overlay architecture enables to raise the abstraction level of hardware design and enhances hardware-accelerated applications’ portability. In FPGAs, there is a growing awareness of the overlay structure as typified by many-core architecture. It works ...

Stencil computations lie at the heart of many scientific and industrial applications. Stencil algorithms pose several challenges on machines with cache based memory hierarchy, due to low re-use of memory accesses if special care is not taken to optimize ...

The Tensor Core Unit (TCU) has been increasingly adopted on modern high performance processors, specialized in boosting the performance of general matrix multiplication (GEMM). Due to its highly optimized hardware design, TCU can significantly ...

Stencil computations represent a very common class of nested loops in scientific and engineering applications. Exploiting vector units in modern CPUs is crucial to achieving peak performance. Previous vectorization approaches often consider the data ...

Stencil-based algorithms are a relevant class of computational kernels in high-performance systems, as they appear in a plethora of fields, from image processing to seismic simulations, from numerical methods to physical modeling. Among the various ...

Stencil computations are widely used to simulate the change of state of physical systems across a multidimensional grid over multiple timesteps. The state-of-the-art techniques in this area fall into three groups: cache-aware tiled looping algorithms, ...

High-level functional programming abstractions have started to show promising results for HPC (High-Performance Computing). Approaches such as Lift, Futhark or Delite have shown that it is possible to have both, high-level abstractions and performance, ...

This paper presents Dexter, a new tool that automatically translates image processing functions from a low-level general-purpose language to a high-level domain-specific language (DSL), allowing them to leverage cross-platform optimizations enabled by ...

Stencil computation is a classic computational kernel present in many high-performance scientific applications, like image processing and partial differential equation solvers (PDE). A stencil computation sweeps over a multi-dimensional grid and ...

Dynamical core is one of the most time-consuming parts in the global atmospheric general circulation model, which is widely used for the numerical simulation of the dynamic evolution process of global atmosphere. Due to its complicated calculation ...

Stencil computation arises from a large variety of scientific and engineering applications and often plays a critical role in the performance of extreme-scale simulations. Due to the memory bound nature, it is a challenging task to optimize stencil ...

Stencil computation is one of the most important kernels for many applications such as image processing, solving partial differential equations, and cellular automata. Nevertheless, implementing a high throughput stencil kernel is not trivial due to its ...

Stencil computations represent a very common class of nested loops in scientific and engineering applications. The exhaustively studied tiling is one of the most powerful transformation techniques to explore the data locality and parallelism. Unlike ...

The stencil pattern is important in many scientific and engineering domains, spurring great interest from researchers and industry. In recent years, various optimizations have been proposed for parallel stencil applications running on graphics ...

In order to achieve exascale systems, application resilience needs to be addressed. Some programming models, such as task-DAG (directed acyclic graphs) architectures, currently embed resilience features whereas traditional SPMD (single program, multiple ...

The Uintah computational framework is used for the parallel solution of partial differential equations on adaptive mesh refinement grids using modern supercomputers. Uintah is structured with an application layer and a separate runtime system. The ...

Highly optimized programs are prone to bit rot, where performance quickly becomes suboptimal in the face of new hardware and compiler techniques. In this paper we show how to automatically lift performance-critical stencil kernels from a stripped x86 ...

Classifying memory access patterns is paramount to the selection of the right set of optimizations and determination of the parallelization strategy. Static analyses suffer from ambiguities present in source code, which modern compilation techniques, ...