High　throughput　in　data　communication　is　of　great　significance　for　GPU　accelerated　systems　in　order　to　fully　exploit　thread　level　parallelism.　Different　traffic　patterns　between　GPU　NoCs　and　CPU　NoCs　lead　to　suboptimal　performance　in　GPU　NoCs　that　directly　adapt　from　CPU　NoCs.　Moreover,　for　GPU　NoCs,　two　networks　are　usually　employed　to　avoid　deadlocks　between　requests　and　reply　messages.　Another　important　feature　of　GPU　NoCs　is　the　unbalanced　traffic　load　between　request　network　and　reply　network.　This　feature　often　causes　the　reply　network　to　be　congested　while　the　request　network　is　idle.　Based　on　these　features　of　GPU　NoCs,　this　paper　proposes　a　technique　called　Stop　Request　Network　(SRN).　SRN　works　by　stopping　request　network　to　reduce　energy　cost　when　congestion　occurs　in　the　reply　network.　Our　evaluation　results　show　that　SRN　can　save　power　by　10%　with　negligible　performance　degradation.　©　2019　IEEE.