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A task-parallel approach to programming commodity graphics hardware is useful for implementing irregular parallel workloads with dependencies, particularly for applications such as video encoding and backtracking algorithms. The featured Web extra is a video that demonstrates how to use a GPU task-parallel model for H.264 intra prediction. The authors first describe the dependency structure and then...
Domain-specific languages offer a solution to the performance and the productivity issues in heterogeneous computing systems. The Delite compiler framework simplifies the process of building embedded parallel DSLs. DSL developers can implement domain-specific operations by extending the DSL framework, which provides static optimizations and code generation for heterogeneous hardware. The Delite runtime...
In modern online multi-player games, game providers are struggling to keep up with the many different types of cheating. Cheat detection is a task that requires a lot of computational resources. Advances made within the field of heterogeneous computing architectures, such as graphics processing units (GPUs), have given developers easier access to considerably more computational resources, enabling...
In this paper, we present a novel implementation of a Cellular Genetic Algorithm (cGA) model for a multi-GPU platform using NVIDIA's CUDA technology. This multi-GPU cGA model is compared first against a serial version in CPU and then versus an implementation on a single GPU. We divide the different operations of the cGA into distinct sets of instructions called kernels. Using the multi-GPU platform...
We discuss the possible use of GPUs (Graphics Processing Unit) in the all-digital trigger and data acquisition (TDAQ) chain of the NA62 experiment at CERN. The exponentially growing interest in using GPUs for general purpose applications is based on the impressive performances achieved (peak performance already exceeding the Teraflop/s), on the high bandwidth to memory (hundreds of GB/s) and on the...
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