diff --git a/examples/bump-allocator.jl b/examples/bump-allocator.jl
new file mode 100644
index 00000000..93f539a8
--- /dev/null
+++ b/examples/bump-allocator.jl
@@ -0,0 +1,40 @@
+using Test
+
+using CUDAdrv, CUDAnative
+include(joinpath(@__DIR__, "..", "test", "array.jl"))   # real applications: use CuArrays.jl
+
+mutable struct Box{T}
+    value::T
+end
+
+function vcopy(a, b)
+    i = (blockIdx().x-1) * blockDim().x + threadIdx().x
+    box = Box(a[i])
+    b[i] = box.value
+    return
+end
+
+dims = (3,4)
+a = round.(rand(Float32, dims) * 100)
+b = similar(a)
+
+d_a = CuTestArray(a)
+d_b = CuTestArray(b)
+
+len = prod(dims)
+
+# Allocate a 1 MiB heap for the bump allocator.
+heap_capacity = 1024 * 1024
+heap = Mem.alloc(Mem.DeviceBuffer, heap_capacity)
+heap_start_address = pointer(heap)
+# Create an initialization callback for the bump allocator.
+function init(kernel)
+    CUDAnative.Runtime.bump_alloc_init!(kernel, heap_start_address, heap_capacity)
+end
+# Run the kernel.
+@cuda threads=len init=init malloc="ptx_bump_alloc" vcopy(d_a, d_b)
+# Free the heap.
+Mem.free(heap)
+
+b = Array(d_b)
+@test a ≈ b