Time-tiling is necessary for the efficient execution of iterative stencil computations. Classical hyper-rectangular tiles cannot be used due to the combination of backward and forward dependences along space dimensions. Existing techniques trade temporal data reuse for inefficiencies in other areas, such as load imbalance, redundant computations, or increased control flow overhead, therefore making it challenging for use with GPUs. We propose a time-tiling method for iterative stencil computations on GPUs. Our method does not involve redundant computations. It favors coalesced global-memory accesses, data reuse in local/shared-memory or cache, avoidance of thread divergence, and concurrency, combining hexagonal tile ...
Communicated by Guest Editors The implementation of stencil computations on modern, massively parall...
We present a new cache oblivious scheme for iterative stencil computations that performs beyond syst...
Spatial computing devices have been shown to significantly accelerate stencil computations, but have...
Iterative stencil computations are important in scientific computing and more and more also in the e...
state.edu Iterative stencil computations are important in scientific com-puting and more and more al...
This paper fully develops Diamond Tiling, a technique to partition the computations of stencil appli...
Most stencil computations allow tile-wise concurrent start, i.e., there always exists a face of the ...
AbstractIn this paper we investigate how stencil computations can be implemented on state-of-the-art...
This thesis studies the techniques of tiling optimizations for stencil programs. Traditionally, res...
Stencil computations are iterative kernels often used to simulate the change in a discretized spatia...
This paper deals with optimizing time-iterated computations on periodic data domains. These computat...
Stencil computations arise in many scientific computing do-mains, and often represent time-critical ...
Most stencil computations allow tile-wise concurrent start, i.e., there always exists a face of the ...
International audienceTiling is a key technology to increase data reuse in computation kernels. For ...
The importance of tiles or blocks in mathematics and thus computer science cannot be overstated. Fro...
Communicated by Guest Editors The implementation of stencil computations on modern, massively parall...
We present a new cache oblivious scheme for iterative stencil computations that performs beyond syst...
Spatial computing devices have been shown to significantly accelerate stencil computations, but have...
Iterative stencil computations are important in scientific computing and more and more also in the e...
state.edu Iterative stencil computations are important in scientific com-puting and more and more al...
This paper fully develops Diamond Tiling, a technique to partition the computations of stencil appli...
Most stencil computations allow tile-wise concurrent start, i.e., there always exists a face of the ...
AbstractIn this paper we investigate how stencil computations can be implemented on state-of-the-art...
This thesis studies the techniques of tiling optimizations for stencil programs. Traditionally, res...
Stencil computations are iterative kernels often used to simulate the change in a discretized spatia...
This paper deals with optimizing time-iterated computations on periodic data domains. These computat...
Stencil computations arise in many scientific computing do-mains, and often represent time-critical ...
Most stencil computations allow tile-wise concurrent start, i.e., there always exists a face of the ...
International audienceTiling is a key technology to increase data reuse in computation kernels. For ...
The importance of tiles or blocks in mathematics and thus computer science cannot be overstated. Fro...
Communicated by Guest Editors The implementation of stencil computations on modern, massively parall...
We present a new cache oblivious scheme for iterative stencil computations that performs beyond syst...
Spatial computing devices have been shown to significantly accelerate stencil computations, but have...