diff --git a/samples/nvcuda/readme.txt b/samples/nvcuda/readme.txt
deleted file mode 100644
index c848d3f66e..0000000000
--- a/samples/nvcuda/readme.txt
+++ /dev/null
@@ -1,49 +0,0 @@
-Tuan Le
-University of California, Berkeley
-Berkeley Space Sciences Lab
-tuanle86@berkeley.edu
-
------------------------ Compiler ----------------------------
-
-You will need to install gcc 4.3 and g++ 4.3. It appears that Cuda 3.0 SDK has not yet worked
-with gcc 4.4 and g++ 4.4. Please follow these steps:
-
-sudo aptitude install gcc-4.3 g++-4.3
-cd ~/NVIDIA_GPU_Computing_SDK/C (go to SDK source dir. You should find the right path on your machine)
-mkdir mygcc
-cd mygcc
-ln -s $(which g++-4.3) g++
-ln -s $(which gcc-4.3) gcc
-
-Note: mygcc directory must be created since I have made symlinks to the 4.3 compiler to mygcc directory
-in my current Makefile.
-
------------------------ Linux Makefile ----------------------
-
-common.mk file needs to be edited on your machine before running. Please follow these steps:
-
-1) Open "boinc/samples/nvcuda/common.mk" with gedit
-2) Ctrl+f and search for "tuanle". You will find the following:
-
-ROOTDIR  ?= /home/tuanle/NVIDIA_GPU_Computing_SDK
-
-3) Replace this path with an appropriate path on your machine.
-4) Done!
-
-
------------------------ Linux Troubleshooting ----------------
-
-Error: ./example_app_nvcuda: error while loading shared libraries: libcudart.so.3: cannot open
-       shared object file: No such file or directory
-Read: http://developer.download.nvidia.com/compute/cuda/3_0/docs/GettingStartedLinux.pdf  (on top of page 6)
-Solution: export PATH=/usr/local/cuda/bin:$PATH
-          export LD_LIBRARY_PATH=/usr/local/cuda/lib:$LD_LIBRARY_PATH
-
-
------------------------ Run Executable file ------------------
-
-"make" command will create an executable file in "boinc/samples/nvcuda/linux/release/".
-If your machine doesn't have CUDA-enabled GPU, then the executable file for this sample app in 
-the release directory will stop execution after the statement "Start at inversion #1" is printed out on
-the terminal. In this case, it's best to run in emurelease mode. To generate an executable file in
-emurelease mode, type "make emu=1". The executable file is then created in "boinc/samples/nvcuda/linux/emurelease/".
diff --git a/samples/nvcuda/readme_mac.txt b/samples/nvcuda/readme_mac.txt
deleted file mode 100644
index f1fa78242f..0000000000
--- a/samples/nvcuda/readme_mac.txt
+++ /dev/null
@@ -1,51 +0,0 @@
-Tuan Le
-University of California, Berkeley
-Berkeley Space Sciences Lab
-tuanle86@berkeley.edu
-
------------------------ Mac OS Makefile ----------------------
-By default, the NVIDIA Cuda SDK for MacOS is installed at $ROOT/Developer/ under the directory name "GPU Computing".
-If it is installed somewhere else, then common_mac.mk file needs to be edited by the following steps:
-
-1) Open "boinc/samples/nvcuda/common_mac.mk"
-2) Look for "ROOTDIR  ?= /DeveloperGPU\ Computing"
-3) Replace this path with an appropriate path on your machine.
-4) Done!
-
------------------------ Mac Troubleshooting ----------------
-
-Error: ./example_app_nvcuda_mac: library not found for -lcutil_i386. 
-Solution: run make from "CPU Computing" directory to build the cutil_i386 library.
-
-Note: It appears that nvcc compiler has trouble compiling .cu file that contains both BOINC and 
-      Cuda code. Any attempt to compile such .cu files will result in errors like the following:
-
-	/usr/lib/gcc/i686-apple-darwin9/4.0.1/include/mmintrin.h(55): error: identifier "__builtin_ia32_emms" is undefined
-
-	/usr/lib/gcc/i686-apple-darwin9/4.0.1/include/mmintrin.h(68): error: identifier "__builtin_ia32_vec_init_v2si" is undefined
-
-	/usr/lib/gcc/i686-apple-darwin9/4.0.1/include/mmintrin.h(111): error: identifier "__builtin_ia32_vec_ext_v2si" is undefined
-
-	/usr/lib/gcc/i686-apple-darwin9/4.0.1/include/mmintrin.h(150): error: identifier "__builtin_ia32_packsswb" is undefined
-
-	/usr/lib/gcc/i686-apple-darwin9/4.0.1/include/mmintrin.h(165): error: identifier "__builtin_ia32_packssdw" is undefined
-      
-        ...........
-      
-      The solution that I came up with is to compile BOINC and Cuda seperately. Put BOINC code in .c file and CUDA code in .cu file.
-      Then, write an external function in .cu file that will make kernel calls, do computation and return a result that could be used
-      in .c file.     
-
------------------------ Run Executable file ------------------
-
-"make -f Makefile_mac" command will create an executable file in "boinc/samples/nvcuda/darwin/release/".
-If your machine doesn't have CUDA-enabled GPU, then the executable file for this sample app in 
-the release directory will stop execution after some output statements on the terminal. In this case,
-it's best to run in emurelease mode. To generate an executable file in emurelease mode, type 
-"make -f Makefile_mac emu=1". The executable file is then created in "boinc/samples/nvcuda/darwin/emurelease/".
-Note that NVIDIA Cuda SDK version older than version 3.0 will no longer support emulation mode.
-
-Also, you need to define some environment variables before running the executable file.
-
-export PATH=/usr/local/cuda/bin:$PATH
-export DYLD_LIBRARY_PATH=/usr/local/cuda/lib:$DYLD_LIBRARY_PATH
\ No newline at end of file