Name changed to Hydra Image Processor (HIP)

src/MATLAB/+Performance/MeanFilter.m

@@ -2,16 +2,16 @@ function [cTime,mTime,kernelName,c2Time] = MeanFilter(im,nhood,numDevices)
     kernelName = 'MeanFilter';
     
     cT = tic;
-    imC = HSP.MeanFilter(im,nhood,[],1);
+    imC = HIP.MeanFilter(im,nhood,[],1);
     cTime = toc(cT);
 
     mT = tic;
-    imM = HSP.Local.MeanFilter(im,nhood,[],[],true);
+    imM = HIP.Local.MeanFilter(im,nhood,[],[],true);
     mTime = toc(mT);
     
     if (numDevices>1)
         c2T = tic;
-        imC = HSP.MeanFilter(im,nhood,[],[]);
+        imC = HIP.MeanFilter(im,nhood,[],[]);
         c2Time = toc(c2T);
     else
         c2Time = inf;

src/MATLAB/+Performance/MeanFilterGraph.m

@@ -10,7 +10,7 @@ function times = MeanFilterGraph(sizes_rc,sizeItter,types,typeItter,numTrials,nu
     kernel = ones(5,5,3,'single');
     m = memory;
     cpu_memAvail = m.MemAvailableAllArrays/4;
-    m = HSP.Cuda.DeviceStats;
+    m = HIP.Cuda.DeviceStats;
     gpu_memAvail = max(m.totalMem);
     
     for i = sizeItter

src/MATLAB/+Performance/MedianFilter.m

@@ -2,16 +2,16 @@ function [cTime,mTime,kernelName,c2Time] = MedianFilter(im,nhood,numDevices)
     kernelName = 'MedianFilter';
     
     cT = tic;
-    imC = HSP.MedianFilter(im,nhood,[],1);
+    imC = HIP.MedianFilter(im,nhood,[],1);
     cTime = toc(cT);
     
     mT = tic;
-    imM = HSP.Local.MedianFilter(im,nhood,[],[],true);
+    imM = HIP.Local.MedianFilter(im,nhood,[],[],true);
     mTime = toc(mT);
     
     if (numDevices>1)
         c2T = tic;
-        imC = HSP.MedianFilter(im,nhood,[],[]);
+        imC = HIP.MedianFilter(im,nhood,[],[]);
         c2Time = toc(c2T);
     else
         c2Time = inf;

src/MATLAB/+Performance/MedianFilterGraph.m

@@ -10,7 +10,7 @@ function times = MedianFilterGraph(sizes_rc,sizeItter,types,typeItter,numTrials,
     kernel = ones(5,5,3,'single');
     m = memory;
     cpu_memAvail = m.MemAvailableAllArrays/4;
-    m = HSP.Cuda.DeviceStats;
+    m = HIP.Cuda.DeviceStats;
     gpu_memAvail = max(m.totalMem);
     
     for i = sizeItter

src/MATLAB/+Performance/RunTiming.m

-HSP.BuildScript;
+HIP.BuildScript;
 
 %%
 numTrials = 2;
 
-numDevices = HSP.Cuda.DeviceCount();
+numDevices = HIP.Cuda.DeviceCount();
 sizes_rc = [...
     0512,0512,1,1,1; % single small images
     1024,1024,1,1,1; % single medium image 
@@ -17,7 +17,8 @@ sizes_rc = [...
 
 sizeItter = size(sizes_rc,1):-1:1;
 %sizeItter = 1:size(sizes_rc,1);
-types = {'uint8';'uint16';'single';'double'};
+%types = {'uint8';'uint16';'single';'double'};
+types = {'unit16'};
 typeItter = size(types,1):-1:1;
 %typeItter = 1:size(types,1);
 
@@ -54,8 +55,8 @@ end
 hpTimes = Performance.HighPassFilterGraph(sizes_rc,sizeItterSm,types,typeItter,numTrials,numDevices);
 
 %% Save out results
-temp = what('HSP');
-HSPPath = temp.path;
+temp = what('HIP');
+HIPPath = temp.path;
 compName = getenv('computername');
 
-save(fullfile(HSPPath,[compName,'.mat']),'maxTimes','closeTimes','meanTimes','medTimes','stdTimes','medTimes','gaussTimes','hpTimes');
+save(fullfile(HIPPath,[compName,'.mat']),'maxTimes','closeTimes','meanTimes','medTimes','stdTimes','medTimes','gaussTimes','hpTimes');

src/MATLAB/+Performance/StdFilter.m

@@ -2,16 +2,16 @@ function [cTime,mTime,kernelName,c2Time] = StdFilter(im,nhood,numDevices)
     kernelName = 'StdFilter';
     
     cT = tic;
-    imC = HSP.StdFilter(im,nhood,[],1);
+    imC = HIP.StdFilter(im,nhood,[],1);
     cTime = toc(cT);
 
     mT = tic;
-    imM = HSP.Local.StdFilter(im,nhood,[],[],true);
+    imM = HIP.Local.StdFilter(im,nhood,[],[],true);
     mTime = toc(mT);
     
     if (numDevices>1)
         c2T = tic;
-        imC = HSP.StdFilter(im,nhood,[],[]);
+        imC = HIP.StdFilter(im,nhood,[],[]);
         c2Time = toc(c2T);
     else
         c2Time = inf;

src/MATLAB/+Performance/StdFilterGraph.m

@@ -10,7 +10,7 @@ function times = StdFilterGraph(sizes_rc,sizeItter,types,typeItter,numTrials,num
     kernel = ones(5,5,3);
     m = memory;
     cpu_memAvail = m.MemAvailableAllArrays/4;
-    m = HSP.Cuda.DeviceStats;
+    m = HIP.Cuda.DeviceStats;
     gpu_memAvail = max(m.totalMem);
     
     for i = sizeItter

src/MATLAB/+Performance/SumArray.m

 function [cTime,mTime,kernelName] = SumArray(im)
     kernelName = 'SumArray';
     cT = tic;
-    imC = HSP.SumArray(im);
+    imC = HIP.SumArray(im);
     cTime = toc(cT);
 
     mT = tic;
-    imM = HSP.SumArray(im,true);
+    imM = HIP.SumArray(im,true);
     mTime = toc(mT);
 end

src/MATLAB/template.m

 function [cTime,mTime,kernelName] = (im,)
     kernelName = '';
     cT = tic;
-    imC = HSP.(im,);
+    imC = HIP.(im,);
     cTime = toc(cT);
 
     mT = tic;
-    imM = HSP.(im,,true);
+    imM = HIP.(im,,true);
     mTime = toc(mT);
 end