Coalesced memory access patterns in CUDA yields high performance but achieving such patterns in an application can be tedious. We propose a tool, CUPL, which locates uncoalesced access patterns (UCAP) in a given kernel at compile-time. CUPL does static analysis of a given kernel using polyhedral model and reports warnings if the input kernel exhibits UCAP. CUPL has two-fold use 1) It can help the programmer to locate regions of the code to optimize 2) It can help a compiler to perform efficient data layout transformations. Initial experiments show that CUPL reports warnings at appropriate places in kernels from Rodinia benchmark and NVIDIA SDK suites. © 2013 Authors.