Fix #3300

diff --git a/docs/OpenCLTODOList.txt b/docs/OpenCLTODOList.txt
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-Gromacs – OpenCL Porting
-TODO List
-
-TABLE OF CONTENTS
-1. KNOWN LIMITATIONS
-2. CODE IMPROVEMENTS
-3. ENHANCEMENTS
-4. OPTIMIZATIONS
-5. OTHER NOTES
-6. TESTED CONFIGURATIONS
-
-1. KNOWN LIMITATIONS
-   =================
-- Currently there are no known limitations.
-
-2. CODE IMPROVEMENTS
-   =================
-- Errors returned by OpenCL functions are handled by using assert calls. This
-  needs to be improved.
-  See also Issue #6 - https://github.com/StreamComputing/gromacs/issues/6
-
-- clCreateBuffer is always called with CL_MEM_READ_WRITE flag. This needs to be
-  updated so that only the flags that reflect how the buffer is used are provided.
-  For example, if the device is only going to read from a buffer,
-  CL_MEM_READ_ONLY should be used.
-  See also Issue #13 - https://github.com/StreamComputing/gromacs/issues/13
-
-- The data structures shared between the OpenCL host and device are defined twice:
-  once in the host code, once in the device code. They must be moved to a single
-  file and shared between the host and the device.
-  See also Issue #16 - https://github.com/StreamComputing/gromacs/issues/16
-
-- Quite a few error conditions are unhandled, noted with TODOs in several files
-
-3. ENHANCEMENTS
-   ============
-- Implement OpenCL kernels for Intel GPUs
-
-- Implement OpenCL kernels for Intel CPUs
-
-- Improve GPU device sorting in detect_gpus
-  See also Issue #64 - https://github.com/StreamComputing/gromacs/issues/64
-
-- Implement warp independent kernels
-  See also Issue #66 - https://github.com/StreamComputing/gromacs/issues/66
-
-- Have one OpenCL program object per OpenCL kernel
-  See also Issue #86 - https://github.com/StreamComputing/gromacs/issues/86
-
-- Consider parallelising JIT of programs over CPU cores to improve startup
-  time
-
-- Re-consider caching JIT artefacts to improve startup time
-
-4. OPTIMIZATIONS
-   =============
-- Defining nbparam fields as constants when building the OpenCL kernels
-  See also Issue #87 - https://github.com/StreamComputing/gromacs/issues/87
-
-- Fix the tabulated Ewald kernel. This has the potential of being faster than
-  the analytical Ewald kernel
-  See also Issue #65 - https://github.com/StreamComputing/gromacs/issues/65
-
-- Evaluate gpu_min_ci_balanced_factor impact on performance for AMD
-  See also Issue #69: https://github.com/StreamComputing/gromacs/issues/69
-
-- Update ocl_pmalloc to allocate page locked memory
-  See also Issue #90: https://github.com/StreamComputing/gromacs/issues/90
-
-- Update kernel for 128/256threads/block
-  See also Issue #92: https://github.com/StreamComputing/gromacs/issues/92
-
-- Update the kernels to use OpenCL 2.0 workgroup level functions if they prove
-  to bring a significant speedup.
-  See also Issue #93: https://github.com/StreamComputing/gromacs/issues/93
-
-- Update the kernels to use fixed precision accumulation for force and energy
-  values, if this implementation is faster and does not affect precision.
-  See also Issue #94: https://github.com/StreamComputing/gromacs/issues/94
-
-5. OTHER NOTES
-   ===========
-- NVIDIA GPUs are not handled differently depending on compute capability
-
-- Because the tabulated kernels have a bug not yet fixed, the current
-  implementation uses only the analytical kernels and never the tabulated ones
-  See also Issue #65 - https://github.com/StreamComputing/gromacs/issues/65
-
-- Unlike the CUDA version, the OpenCL implementation uses normal buffers
-  instead of textures
-  See also Issue #88 - https://github.com/StreamComputing/gromacs/issues/88