In this paper we solve the problem of mapping of fine- grained algorithm to graphical processing unit (GPU). Synchronous, asynchronous, block-synchronous ...

As history has shown, there are two ways of processor development. The first one is to design completely new processor architecture. The second one — to.

In this paper we solve the problem of mapping of fine- grained algorithm to graphical processing unit (GPU). Synchronous, asynchronous, block-synchronous and ...

Bibliographic details on Implementation of Fine-Grained Algorithms on Graphical Processing Unit.

Abstract: The efficiency of implementations of algorithms with a fine-grained parallelism on GPUs that support the CUDA architecture is studied.

In this paper, we introduce a type of PGA called Fine-grained Parallel Genetic Algorithm, which has the advantages of maintaining better population diversity, ...

Our findings show that data-driven im- plementations running on a GPGPU using the hardware work- list outperform highly optimized software-based implementa-.

A fine-grained parallel EMT algorithm is proposed in this work, which makes full uses of the advanced Single-Instruction-Multi-Threads (SIMT) and shared memory ...

The properties of algorithms and application that make for efficient GPU implementation are discussed, and computational results for several algorithms are ...

In this paper, we introduce a type of PGA called. Fine-grained Parallel Genetic Algorithm, which has the advantages of maintaining better population diversity, ...