Heterogeneous　multicore　processors　integrate　CPU　and　GPU　cores　which　use　a　common　last-level　cache　(LLC).　However,　it　puts　more　pressure　on　cache　management　algorithm.　Since　GPU　cores　have　higher　number　of　threads,　most　of　the　LLC　space　will　be　dominated　by　GPU　application,　leaving　limited　space　for　CPU　application.　Because　of　this　reason,　it　seriously　affects　the　overall　system　performance.　Aiming　at　the　unfair　utilization　of　GPU　and　CPU　cores　for　shared　cache　resource,　this　paper　mainly　proposes　a　novel　cache　management　method:　cache　partition　combined　with　the　adaptive　replacement　policy.　We　first　split　the　cache　capacity　to　adjust　the　ratio　of　CPU　and　GPU　cores　for　shared　LLC　resource　and　then　use　adaptive　replacement　policies　for　CPU　and　GPU　applications　to　access　LLC.　Experimental　results　show　that　our　scheme　can　make　GPU　applications　in　the　case　of　minimal　loss　of　performance,　improve　the　performance　of　CPU　applications　by　16%　on　average　(up　to　33%),　the　overall　performance　improved　by　6　%(up　to　19%).