1.4.1 doc gen

Former-commit-id: 7daf6e8583ca79b64306c09a44c0fe649dad3bad
GaryShen2008 · Apr 13, 2015 · ebb50a6 · ebb50a6
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diff --git a/CHANGE_LOG.TXT b/CHANGE_LOG.TXT
@@ -1,5 +1,19 @@
 //-----------------------------------------------------------------------------
 
+1.4.1    04/13/2015
+    - Bug fixes: 
+        - Fixes for CUDA 7.0 issues with SHFL-based warp-scan and warp-reduction 
+          on non-primitive data types (e.g., user-defined structs)
+        - Fixes for minor CUDA 7.0 performance regressions in cub::DeviceScan,
+          DeviceReduceByKey
+        - Fixes to allow cub::DeviceRadixSort and cub::BlockRadixSort on bool types
+        - Remove requirement for callers to define the CUB_CDP macro 
+          when invoking CUB device-wide rountines using CUDA dynamic parallelism
+        - Fix for headers not being included in the proper order (or missing includes)
+          for some block-wide functions
+
+//-----------------------------------------------------------------------------
+
 1.4.0    03/18/2015
     - New Features:
 		- Support and performance tuning for new Maxwell GPU architectures

diff --git a/README.md b/README.md
@@ -1,7 +1,7 @@
 <hr>
 <h3>About CUB</h3>
 
-Current release: v1.4.0 (03/18/2015)
+Current release: v1.4.1 (04/13/2015)
 
 We recommend the [CUB Project Website](http://nvlabs.github.com/cub) and the [cub-users discussion forum](http://groups.google.com/group/cub-users) for further information and examples.
 
@@ -89,16 +89,6 @@ feature set.  At the moment, we do not publicly provide non-stable releases
 such as development snapshots, beta releases or rolling releases.  (Feel free
 to contact us if you would like such things.)  See the 
 [CUB Project Website](http://nvlabs.github.com/cub) for more information.
- 
-| Date | Version |
-| ---- | ------- |
-| 03/18/2015 | [CUB v1.4.0](https://github.com/NVlabs/cub/archive/1.4.0.zip) |
-| 05/23/2014 | [CUB v1.3.2](https://github.com/NVlabs/cub/archive/1.3.2.zip) |
-| 04/01/2014 | [CUB v1.2.3](https://github.com/NVlabs/cub/archive/1.2.3.zip) |
-| 12/10/2013 | [CUB v1.1.1](https://github.com/NVlabs/cub/archive/1.1.1.zip) |
-| 08/08/2013 | [CUB v1.0.1](https://github.com/NVlabs/cub/archive/1.0.1.zip) |
-| 03/07/2013 | [CUB v0.9.0](https://github.com/NVlabs/cub/archive/0.9.zip) |
-
 
 <br><hr>
 <h3>Contributors</h3>

diff --git a/cub/device/device_spmv.cuh b/cub/device/device_spmv.cuh
@@ -94,8 +94,8 @@ struct DeviceSpmv
      * float  beta = 0.0;
      *
      * float* d_values;  // e.g., [1, 1, 1, 1, 1, 1, 1, 1,
-     *                          //        1, 1, 1, 1, 1, 1, 1, 1,
-     *                          //        1, 1, 1, 1, 1, 1, 1, 1]
+     *                   //        1, 1, 1, 1, 1, 1, 1, 1,
+     *                   //        1, 1, 1, 1, 1, 1, 1, 1]
      *
      * int*   d_column_indices; // e.g., [1, 3, 0, 2, 4, 1, 5, 0,
      *                          //        4, 6, 1, 3, 5, 7, 2, 4,

diff --git a/docs/download_cub.html b/docs/download_cub.html
@@ -37,14 +37,14 @@
 </head>
 
 <body 
-	onload="downloadURL('https://github.com/NVlabs/cub/archive/1.4.0.zip');" 
+	onload="downloadURL('https://github.com/NVlabs/cub/archive/1.4.1.zip');" 
 	style="color: rgb(102, 102, 102); font-family: Helvetica, arial, freesans, clean, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: 300; height: 18px;">
 
 <center>
 If your download doesn't start in 3s:
 <br><br>
-<a href="https://github.com/NVlabs/cub/archive/1.4.0.zip"><img src="download-icon.png" style="position:relative; bottom:-10px; border:0px;"/></a>
-<a href="https://github.com/NVlabs/cub/archive/1.4.0.zip"><em>Download CUB!</em></a>
+<a href="https://github.com/NVlabs/cub/archive/1.4.1.zip"><img src="download-icon.png" style="position:relative; bottom:-10px; border:0px;"/></a>
+<a href="https://github.com/NVlabs/cub/archive/1.4.1.zip"><em>Download CUB!</em></a>
 </center>
 
 </body>

diff --git a/docs/html/CHANGE_LOG.TXT b/docs/html/CHANGE_LOG.TXT
@@ -1,5 +1,19 @@
 //-----------------------------------------------------------------------------
 
+1.4.1    04/13/2015
+    - Bug fixes: 
+        - Fixes for CUDA 7.0 issues with SHFL-based warp-scan and warp-reduction 
+          on non-primitive data types (e.g., user-defined structs)
+        - Fixes for minor CUDA 7.0 performance regressions in cub::DeviceScan,
+          DeviceReduceByKey
+        - Fixes to allow cub::DeviceRadixSort and cub::BlockRadixSort on bool types
+        - Remove requirement for callers to define the CUB_CDP macro 
+          when invoking CUB device-wide rountines using CUDA dynamic parallelism
+        - Fix for headers not being included in the proper order (or missing includes)
+          for some block-wide functions
+
+//-----------------------------------------------------------------------------
+
 1.4.0    03/18/2015
     - New Features:
 		- Support and performance tuning for new Maxwell GPU architectures
@@ -118,7 +132,7 @@
         - Added min, max, arg-min, and arg-max to DeviceReduce
         - Added DeviceSelect (select-unique, select-if, and select-flagged)
         - Added DevicePartition (partition-if, partition-flagged)
-        - Added generic cub::ShuffleUp(), cub::ShuffleDown(), and cub::ShuffleBroadcast() for warp-wide communication of arbitrary data types (SM3x+)
+        - Added generic cub::ShuffleUp(), cub::ShuffleDown(), and cub::ShuffleIndex() for warp-wide communication of arbitrary data types (SM3x+)
         - Added cub::MaxSmOccupancy() for accurately determining SM occupancy for any given kernel function pointer
     - Performance
         - Improved DeviceScan and DeviceRadixSort performance for older architectures (SM10-SM30)