• Journal of IKEEE
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• v.21 no.1
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• pp.77-80
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• 2017

In this paper, we proposed a way to improve performance of GP-GPU by deletion of superscalar issue from its original form. At first, we simplified the structure of stream processor in order to eliminate superscalar issue. Under this condition, preservation of hardware size and increasing of thread number were followed by functional improvement of GP-GPU. As the number of thread was getting larger, we proposed the new model of warp scheduler which adjusts the group of thread. This superscalar issue-deleted warp scheduler transferred the instructions to warp which was activated by Round Robin Scheduling. Performance comparison was conducted by Gaussian filtering and the results indicated that our newly designed GP-GPU showing 7.89 times better in its performance than original one.