Implement reordering on the GPU

bench/test_main.cxx

@@ -45,6 +45,16 @@ int main(int argc, char** argv) {
                  checkpoint_percentage,
                  "Percentage for checkpoints");
 
+#if defined(HAVE_CUDA)
+  size_t ooo_threads = 0, ooo_blocks = 0;
+  app.add_option("--ooo-blocks",
+		 ooo_blocks,
+		 "CUDA: Number of blocks per block for kernels going through ooo tensors");
+  app.add_option("--ooo-threads",
+		 ooo_threads,
+		 "CUDA: Number of threads per block for kernels going through ooo tensors");
+#endif
+
   CLI11_PARSE(app, argc, argv);
 
   CTF::World world(argc, argv);
@@ -154,15 +164,24 @@ int main(int argc, char** argv) {
        .with_checkpointAtPercentage(checkpoint_percentage)
        .with_checkpointPath(checkpoint_path)
        .with_readCheckpointIfExists(!noCheckpoint)
+#if defined(HAVE_CUDA)
+       .with_oooThreads(ooo_threads)
+       .with_oooBlocks(ooo_blocks)
+#endif
        ;
 
+  try {
     auto out = atrip::Atrip::run(in);
+    if (atrip::Atrip::rank == 0)
+	std::cout << "Energy: " << out.energy << std::endl;
+  } catch (const char* msg) {
+    if (atrip::Atrip::rank == 0)
+      std::cout << "Atrip throwed with msg:\n\t\t " << msg << "\n";
+  }
 
   if (!in.deleteVppph)
     delete Vppph;
 
-  if (atrip::Atrip::rank == 0)
-    std::cout << "Energy: " << out.energy << std::endl;
 
   MPI_Finalize();
   return 0;

include/atrip/Atrip.hpp

@@ -51,6 +51,9 @@ namespace atrip {
       cublasHandle_t handle;
     };
     static CudaContext cuda;
+    static struct KernelDimensions {
+      struct {size_t blocks, threads;} ooo;
+    } kernelDimensions;
 #endif
 
     static void init(MPI_Comm);
@@ -92,6 +95,10 @@ namespace atrip {
       ADD_ATTRIBUTE(bool, writeCheckpoint, true)
       ADD_ATTRIBUTE(float, checkpointAtPercentage, 10)
       ADD_ATTRIBUTE(size_t, checkpointAtEveryIteration, 0)
+#if defined(HAVE_CUDA)
+      ADD_ATTRIBUTE(size_t, oooThreads, 0)
+      ADD_ATTRIBUTE(size_t, oooBlocks, 0)
+#endif
 
     };
 

include/atrip/SliceUnion.hpp

@@ -378,12 +378,16 @@ template <typename F=double>
 
       LOG(0,"Atrip") << "INIT SliceUnion: " << name << "\n";
 
-      for (auto& ptr: sliceBuffers)
+      for (auto& ptr: sliceBuffers) {
 #if defined(HAVE_CUDA)
         cuMemAlloc(&ptr, sizeof(F) * sources[0].size());
+	if (ptr == 0UL) {
+	  throw "UNSUFICCIENT MEMORY ON THE GRAPHIC CARD FOR FREE POINTERS";
+	}
 #else
         ptr = (DataPtr<F>)malloc(sizeof(F) * sources[0].size());
 #endif
+      }
 
       slices
         = std::vector<Slice<F>>(2 * sliceTypes.size(), { sources[0].size() });
@@ -396,24 +400,12 @@ template <typename F=double>
 
 
 
-      LOG(1,"Atrip") << "rankMap.nSources "
-                           << rankMap.nSources() << "\n";
-      LOG(1,"Atrip") << "#slices "
-                           << slices.size() << "\n";
-      LOG(1,"Atrip") << "#slices[0] "
-                           << slices[0].size << "\n";
-      LOG(1,"Atrip") << "#sources "
-                           << sources.size() << "\n";
-      LOG(1,"Atrip") << "#sources[0] "
-                           << sources[0].size() << "\n";
-      LOG(1,"Atrip") << "#freePointers "
-                           << freePointers.size() << "\n";
-      LOG(1,"Atrip") << "#sliceBuffers "
-                           << sliceBuffers.size() << "\n";
-      LOG(1,"Atrip") << "#sliceLength "
-                           << sliceLength.size() << "\n";
-      LOG(1,"Atrip") << "#paramLength "
-                           << paramLength.size() << "\n";
+      LOG(1,"Atrip") << "#slices " << slices.size() << "\n";
+      WITH_RANK << "#slices[0] " << slices[0].size << "\n";
+      LOG(1,"Atrip") << "#sources " << sources.size() << "\n";
+      WITH_RANK << "#sources[0] " << sources[0].size() << "\n";
+      WITH_RANK << "#freePointers " << freePointers.size() << "\n";
+      LOG(1,"Atrip") << "#sliceBuffers " << sliceBuffers.size() << "\n";
       LOG(1,"Atrip") << "GB*" << np << " "
                            << double(sources.size() + sliceBuffers.size())
                             * sources[0].size()
@@ -434,7 +426,8 @@ template <typename F=double>
                          __sliceLength.data(),
                          syms.data(),
                          w);
-      LOG(1,"Atrip") << "slicing... \n";
+
+      WITH_OCD WITH_RANK << "slicing... \n";
 
       // setUp sources
       for (size_t it(0); it < rankMap.nSources(); ++it) {

include/atrip/Utils.hpp

@@ -19,13 +19,27 @@
 #include <map>
 #include <chrono>
 
+#if defined(__NVCC__)
+#  pragma nv_diagnostic_push
+#  if defined __NVCC_DIAG_PRAGMA_SUPPORT__
+// http://www.ssl.berkeley.edu/~jimm/grizzly_docs/SSL/opt/intel/cc/9.0/lib/locale/en_US/mcpcom.msg
+#    pragma nv_diag_suppress partial_override
+#  else
+#    pragma diag_suppress partial_override
+#  endif
+#  include <ctf.hpp>
+#  pragma nv_diagnostic_pop
+#else
 #  pragma GCC diagnostic push
 #  pragma GCC diagnostic ignored "-Wvla"
+#  pragma GCC diagnostic ignored "-Wnonnull"
+#  pragma GCC diagnostic ignored "-Wall"
 #  pragma GCC diagnostic ignored "-Wint-in-bool-context"
 #  pragma GCC diagnostic ignored "-Wunused-parameter"
 #  pragma GCC diagnostic ignored "-Wdeprecated-copy"
 #  include <ctf.hpp>
 #  pragma GCC diagnostic pop
+#endif
 
 #include <atrip/Debug.hpp>
 

src/atrip/Atrip.cxx

@@ -24,13 +24,7 @@
 
 using namespace atrip;
 #if defined(HAVE_CUDA)
-
-namespace atrip {
-namespace cuda {
-
-};
-};
-
+#include <cuda.h>
 #endif
 
 template <typename F> bool RankMap<F>::RANK_ROUND_ROBIN;
@@ -40,6 +34,7 @@ size_t Atrip::rank;
 size_t Atrip::np;
 #if defined(HAVE_CUDA)
 typename Atrip::CudaContext Atrip::cuda;
+typename Atrip::KernelDimensions Atrip::kernelDimensions;
 #endif
 MPI_Comm Atrip::communicator;
 Timings Atrip::chrono;
@@ -74,20 +69,99 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
   LOG(0,"Atrip") << "Nv: " << Nv << "\n";
   LOG(0,"Atrip") << "np: " << np << "\n";
 
+#if defined(HAVE_CUDA)
+  int ngcards;
+  cuDeviceGetCount(&ngcards);
+  LOG(0,"Atrip") << "ngcards: " << ngcards << "\n";
+  if (np > ngcards) {
+    std::cerr << "ATRIP: You are running on more ranks than the number of graphic cards\n"
+	      << "You have " << ngcards << " cards at your disposal\n";
+    throw "";
+  }
+  if (np < ngcards) {
+    std::cerr << "You have " << ngcards << " cards at your disposal\n"
+	      << "You will be only using " << np << ", i.e., the nubmer of ranks.\n";
+  }
+
+
+  for (size_t _rank = 0; _rank < np; _rank++) {
+    if (rank == _rank) {
+      CUcontext ctx;
+      CUdevice dev;
+      CUdevprop prop;
+      struct { struct { size_t free, total; } avail; size_t total; } memory;
+      char *name = (char*)malloc(256);
+
+      // set current device
+      cuDeviceGet(&dev, rank);
+      cuCtxCreate(&ctx, 0, dev);
+      cuCtxSetCurrent(ctx);
+
+      // get information of the device
+      cuDeviceGetProperties(&prop, dev);
+      cuMemGetInfo(&memory.avail.free, &memory.avail.total);
+      cuDeviceGetName(name, 256, dev);
+      cuDeviceTotalMem(&memory.total, dev);
+
+      printf("\n"
+	     "CUDA CARD RANK %d\n"
+	     "=================\n"
+	     "\tnumber: %1$d\n"
+	     "\tname: %s\n"
+	     "\tMem. clock rate (KHz): %d\n"
+	     "\tShared Mem Per Block (KB): %f\n"
+	     "\tAvail. Free/Total mem (GB): %f/%f\n"
+	     "\tFree memory (GB): %f\n"
+	     "\n",
+	     Atrip::rank,
+	     name,
+	     prop.clockRate,
+	     prop.sharedMemPerBlock / 1024.0,
+	     memory.avail.free / 1024.0 / 1024.0 / 1024.0 ,
+	     memory.avail.total / 1024.0 / 1024.0 / 1024.0,
+	     memory.total / 1024.0 / 1024.0 / 1024.0 
+	     );
+      std::free((void*)name);
+    }
+    MPI_Barrier(universe);
+  }
+
+  if (in.oooThreads > 0) {
+    Atrip::kernelDimensions.ooo.threads = in.oooThreads;
+  }
+  if (in.oooBlocks > 0) {
+    Atrip::kernelDimensions.ooo.blocks = in.oooBlocks;
+  }
+
+  if (Atrip::kernelDimensions.ooo.threads <= 0 ||
+      Atrip::kernelDimensions.ooo.blocks <= 0) {
+    Atrip::kernelDimensions.ooo.blocks = No / 32 + No % 32;
+    Atrip::kernelDimensions.ooo.threads = 32;
+  }
+
+
+  LOG(0,"Atrip") << "ooo blocks: "
+		 << Atrip::kernelDimensions.ooo.blocks << "\n";
+  LOG(0,"Atrip") << "ooo threads per block: "
+		 << Atrip::kernelDimensions.ooo.threads << "\n";
+#endif
+
   // allocate the three scratches, see piecuch
   // we need local copies of the following tensors on every
   // rank
-  std::vector<F> _epsi(No)
-               , _epsa(Nv)
-               , _Tai(No * Nv)
-               ;
+  std::vector<F> _epsi(No), _epsa(Nv), _Tai(No * Nv);
 
+  // copy the data from the tensors into the vectors
   in.ei->read_all(_epsi.data());
   in.ea->read_all(_epsa.data());
   in.Tph->read_all(_Tai.data());
 
+  //TODO: free memory pointers in the end of the algorithm
+  DataPtr<F> Tijk, Zijk;
+
 #if defined(HAVE_CUDA)
   DataPtr<F> Tai, epsi, epsa;
+  //TODO: free memory pointers in the end of the algorithm
   cuMemAlloc(&Tai, sizeof(F) * _Tai.size());
   cuMemAlloc(&epsi, sizeof(F) * _epsi.size());
   cuMemAlloc(&epsa, sizeof(F) * _epsa.size());
@@ -96,13 +170,12 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
   cuMemcpyHtoD(epsi,(void*)_epsi.data(), sizeof(F) * _epsi.size());
   cuMemcpyHtoD(epsa, (void*)_epsa.data(), sizeof(F) * _epsa.size());
 
-  DataPtr<F> Tijk, Zijk;
-  //TODO: free memory
   cuMemAlloc(&Tijk, sizeof(F) * No * No * No);
   cuMemAlloc(&Zijk, sizeof(F) * No * No * No);
 #else
   std::vector<F> &Tai = _Tai, &epsi = _epsi, &epsa = _epsa;
-  std::vector<F> Tijk(No*No*No), Zijk(No*No*No);
+  Zijk = (DataFieldType<F>*)malloc(No*No*No * sizeof(DataFieldType<F>));
+  Tijk = (DataFieldType<F>*)malloc(No*No*No * sizeof(DataFieldType<F>));
 #endif
 
   RankMap<F>::RANK_ROUND_ROBIN = in.rankRoundRobin;
@@ -135,7 +208,7 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
 
   // BUILD SLICES PARAMETRIZED BY NV x NV =============================={{{1
   WITH_CHRONO("nv-nv-slices",
-    LOG(0,"Atrip") << "BUILD NV x NV-SLICES\n";
+    LOG(0,"Atrip") << "building NV x NV slices\n";
     ABPH<F> abph(*in.Vppph, (size_t)No, (size_t)Nv, (size_t)np, child_comm, universe);
     ABHH<F> abhh(*in.Vpphh, (size_t)No, (size_t)Nv, (size_t)np, child_comm, universe);
     TABHH<F> tabhh(*in.Tpphh, (size_t)No, (size_t)Nv, (size_t)np, child_comm, universe);
@@ -148,7 +221,7 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
 
   // BUILD SLICES PARAMETRIZED BY NV ==================================={{{1
   WITH_CHRONO("nv-slices",
-    LOG(0,"Atrip") << "BUILD NV-SLICES\n";
+    LOG(0,"Atrip") << "building NV slices\n";
     TAPHH<F> taphh(*in.Tpphh, (size_t)No, (size_t)Nv, (size_t)np, child_comm, universe);
     HHHA<F>  hhha(*in.Vhhhp, (size_t)No, (size_t)Nv, (size_t)np, child_comm, universe);
   )
@@ -373,9 +446,6 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
     }
   }
 
-  LOG(0, "AtripCUDA") <<  "Starting iterations\n";
-
-
   for ( size_t
           i = first_iteration,
           iteration = first_iteration + 1
@@ -384,8 +454,6 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
       ) {
     Atrip::chrono["iterations"].start();
 
-    LOG(0, "AtripCUDA") <<  "iteration " << i << "\n";
-
     // check overhead from chrono over all iterations
     WITH_CHRONO("start:stop", {})
 
@@ -397,8 +465,8 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
 
 
     // write checkpoints
+    // TODO: ENABLE THIS
     if (iteration % checkpoint_mod == 0 && false) {
-        LOG(0, "AtripCUDA") <<  "checkpoints \n";
         double globalEnergy = 0;
         MPI_Reduce(&energy, &globalEnergy, 1, MPI_DOUBLE, MPI_SUM, 0, universe);
         Checkpoint out
@@ -410,10 +478,9 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
              iteration - 1,
              in.rankRoundRobin};
         LOG(0, "Atrip") << "Writing checkpoint\n";
-        //if (Atrip::rank == 0) write_checkpoint(out, in.checkpointPath);
+        if (Atrip::rank == 0) write_checkpoint(out, in.checkpointPath);
     }
 
-    LOG(0, "AtripCUDA") <<  "reporting \n";
     // write reporting
     if (iteration % iterationMod == 0 || iteration == iteration1Percent) {
 
@@ -467,32 +534,20 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
                 << "\n";
     )
 
-    LOG(0, "AtripCUDA") <<  "first database " << i << "\n";
-
     // COMM FIRST DATABASE ================================================{{{1
     if (i == first_iteration) {
-      LOG(0, "AtripCUDA") <<  "first database " << i << "\n";
       WITH_RANK << "__first__:first database ............ \n";
       const auto db = communicateDatabase(abc, universe);
-      LOG(0, "AtripCUDA") <<  "first database communicated" << i << "\n";
       WITH_RANK << "__first__:first database communicated \n";
       WITH_RANK << "__first__:first database io phase \n";
-      LOG(0, "AtripCUDA") <<  "doing io " << i << "\n";
       doIOPhase(db);
-      LOG(0, "AtripCUDA") <<  "io done " << i << "\n";
       WITH_RANK << "__first__:first database io phase DONE\n";
       WITH_RANK << "__first__::::Unwrapping all slices for first database\n";
-      LOG(0, "AtripCUDA") <<  "unrwapping " << i << "\n";
       for (auto& u: unions) u->unwrapAll(abc);
-      LOG(0, "AtripCUDA") <<  "unwrapped " << i << "\n";
       WITH_RANK << "__first__::::Unwrapping slices for first database DONE\n";
-      LOG(0, "AtripCUDA") <<  "barrier " << i << "\n";
       MPI_Barrier(universe);
-      LOG(0, "AtripCUDA") <<  "barriered " << i << "\n";
     }
 
-    LOG(0, "AtripCUDA") <<  "next database" << i << "\n";
-
     // COMM NEXT DATABASE ================================================={{{1
     if (abcNext) {
       WITH_RANK << "__comm__:" << iteration << "th communicating database\n";
@@ -508,9 +563,6 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
     // COMPUTE DOUBLES ===================================================={{{1
     OCD_Barrier(universe);
     if (!isFakeTuple(i)) {
-
-      LOG(0, "AtripCUDA") <<  "computing doubles " << i << "\n";
-
       WITH_RANK << iteration << "-th doubles\n";
       WITH_CHRONO("oneshot-unwrap",
       WITH_CHRONO("unwrap",
@@ -542,11 +594,7 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
                               , tabhh.unwrapSlice(Slice<F>::AC, abc)
                               , tabhh.unwrapSlice(Slice<F>::BC, abc)
                               // -- TIJK
-#if defined(HAVE_CUDA)
                               , (DataFieldType<F>*)Tijk
-#else
-                              , Tijk.data()
-#endif
                               );
         WITH_RANK << iteration << "-th doubles done\n";
       ))
@@ -563,16 +611,10 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
       WITH_CHRONO("reorder",
         int ooo = No*No*No, stride = 1;
         atrip::xcopy<F>(&ooo,
-#if defined(HAVE_CUDA)
                         (DataFieldType<F>*)Tijk, &stride,
                         (DataFieldType<F>*)Zijk, &stride);
-#else
-                        (DataFieldType<F>*)Tijk.data(), &stride,
-                        (DataFieldType<F>*)Zijk.data(), &stride);
-#endif
       )
       WITH_CHRONO("singles",
-      LOG(0, "AtripCUDA") <<  "doing singles" << i << "\n";
 #if defined(HAVE_CUDA)
       singlesContribution<F><<<1,1>>>( No, Nv, abc[0], abc[1], abc[2]
                             , (DataFieldType<F>*)Tai
@@ -583,13 +625,8 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
                             , (DataFieldType<F>*)abhh.unwrapSlice(Slice<F>::AB, abc)
                             , (DataFieldType<F>*)abhh.unwrapSlice(Slice<F>::AC, abc)
                             , (DataFieldType<F>*)abhh.unwrapSlice(Slice<F>::BC, abc)
-#if defined(HAVE_CUDA)
                             , (DataFieldType<F>*)Zijk);
-#else
-                            , Zijk.data());
-#endif
       )
-      LOG(0, "AtripCUDA") <<  "singles done" << i << "\n";
     }
 
 
@@ -602,7 +639,7 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
       if (abc[1] == abc[2]) distinct--;
       const F epsabc(_epsa[abc[0]] + _epsa[abc[1]] + _epsa[abc[2]]);
 
-      LOG(0, "AtripCUDA") <<  "doing energy " << i << "distinct " << distinct << "\n";
+      // LOG(0, "AtripCUDA") <<  "doing energy " << i << "distinct " << distinct << "\n";
       WITH_CHRONO("energy",
 /*
     TODO: think about how to do this on the GPU in the best way possible
@@ -686,6 +723,17 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
   }
     // END OF MAIN LOOP
 
+#if defined(HAVE_CUDA)
+  cuMemFree(Tai);
+  cuMemFree(epsi);
+  cuMemFree(epsa);
+  cuMemFree(Tijk);
+  cuMemFree(Zijk);
+#else
+  std::free(Zijk);
+  std::free(Tijk);
+#endif
+
   MPI_Barrier(universe);
 
   // PRINT TUPLES %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%{{{1

src/atrip/Blas.cxx

@@ -80,7 +80,6 @@ namespace atrip {
              typename DataField<Complex>::type *C,
              const int *ldc) {
 #if defined(HAVE_CUDA)
-#pragma warning HAVE_CUDA
     cuDoubleComplex
       cu_alpha = {std::real(*alpha), std::imag(*alpha)},
       cu_beta = {std::real(*beta), std::imag(*beta)};

src/atrip/Equations.cxx

@@ -14,6 +14,7 @@
 
 // [[file:~/cuda/atrip/atrip.org::*Prolog][Prolog:2]]
 #include<atrip/Equations.hpp>
+#include<atrip/CUDA.hpp>
 
 #if defined(HAVE_CUDA)
 #include <cuda.h>
@@ -22,6 +23,23 @@
 namespace atrip {
 // Prolog:2 ends here
 
+
+  // These are just help structures
+  // to help with the templating of reorder
+  // function
+  enum reordering_t
+    {
+     IJK,
+     IKJ,
+     JIK,
+     JKI,
+     KIJ,
+     KJI
+    };
+
+  template <typename F, reordering_t R>
+  struct reorder_proxy {};
+
 #ifdef HAVE_CUDA
 namespace cuda {
 
@@ -110,11 +128,61 @@ namespace cuda {
     return lz;
   }
 
-
-
 };
 #endif
 
+#if defined(HAVE_CUDA)
+#define LIMS_KS						\
+  size_t						\
+  kmin = blockIdx.x * blockDim.x + threadIdx.x,		\
+    k = kmin,						\
+    idx = kmin * size * size * size			\
+    ;							\
+  k < (kmin < size) ? kmin + 1 : size
+#else
+#define LIMS_KS size_t k=0, idx=0; k < size
+#endif
+#define _IJK_(i, j, k) i + j*size + k*size*size
+#define _REORDER_BODY_(...)				\
+  for (LIMS_KS ; k++)					\
+    for (size_t j = 0; j < size; j++)			\
+      for (size_t i = 0; i < size; i++, idx++) {	\
+	__VA_ARGS__					\
+	}
+#define _MAKE_REORDER_(_enum, ...)					\
+  template <typename F>							\
+  __MAYBE_GLOBAL__							\
+  void reorder(reorder_proxy< F, _enum > p,				\
+	       size_t size, F* to, F* from) {				\
+    _REORDER_BODY_(__VA_ARGS__)						\
+  }
+#if defined(HAVE_CUDA)
+#define GO(__TO, __FROM) cuda::sum_in_place<F>(&__TO, &__FROM);
+#else
+#define GO(__TO, __FROM) __TO += __FROM;
+#endif
+
+
+  template <typename F, reordering_t R>
+  __MAYBE_GLOBAL__							\
+  void reorder(reorder_proxy<F, R> proxy,
+	       size_t size, F* to, F* from);
+
+  _MAKE_REORDER_(IJK, GO(to[idx], from[_IJK_(i, j, k)]))
+  _MAKE_REORDER_(IKJ, GO(to[idx], from[_IJK_(i, k, j)]))
+  _MAKE_REORDER_(JIK, GO(to[idx], from[_IJK_(j, i, k)]))
+  _MAKE_REORDER_(JKI, GO(to[idx], from[_IJK_(j, k, i)]))
+  _MAKE_REORDER_(KIJ, GO(to[idx], from[_IJK_(k, i, j)]))
+  _MAKE_REORDER_(KJI, GO(to[idx], from[_IJK_(k, j, i)]))
+  
+
+#undef LIMS_KS
+#undef _MAKE_REORDER
+#undef _REORDER_BODY_
+#undef _IJK_
+#undef GO
+
+
 // [[file:~/cuda/atrip/atrip.org::*Energy][Energy:2]]
 template <typename F>
 double getEnergyDistinct
@@ -274,10 +342,7 @@ double getEnergySame
 // Energy:3 ends here
 
 // [[file:~/cuda/atrip/atrip.org::*Singles%20contribution][Singles contribution:2]]
-template <typename F>
-#ifdef HAVE_CUDA
-__global__
-#endif
+  template <typename F> __MAYBE_GLOBAL__
   void singlesContribution
     ( size_t No
     , size_t Nv
@@ -295,7 +360,7 @@ __global__
     for (size_t k = 0; k < No; k++)
     for (size_t i = 0; i < No; i++)
     for (size_t j = 0; j < No; j++) {
-      const size_t ijk = i + j*No + k*No*No;
+      const size_t ijk = i + j*No + k*NoNo;
 
 #ifdef HAVE_CUDA
 #  define GO(__TPH, __VABIJ)                                          \
@@ -316,10 +381,7 @@ __global__
 
 
 // instantiate
-  template
-#ifdef HAVE_CUDA
-  __global__
-#endif
+  template __MAYBE_GLOBAL__
   void singlesContribution<double>( size_t No
                                   , size_t Nv
                                   , size_t a
@@ -332,10 +394,7 @@ __global__
                                   , double* Zijk
                                   );
 
-  template
-#ifdef HAVE_CUDA
-  __global__
-#endif
+  template __MAYBE_GLOBAL__
   void singlesContribution<Complex>( size_t No
                                    , size_t Nv
                                    , size_t a
@@ -380,18 +439,18 @@ __global__
     ) {
 
     const size_t a = abc[0], b = abc[1], c = abc[2]
-              , NoNo = No*No, NoNv = No*Nv
+              , NoNo = No*No
               ;
 
-    typename DataField<F>::type* Tijk = (typename DataField<F>::type*) Tijk_;
-    LOG(0, "AtripCUDA") <<  "in doubles " << "\n";
+    DataFieldType<F>* Tijk = (DataFieldType<F>*)Tijk_;
 
 #if defined(ATRIP_USE_DGEMM)
-#define _IJK_(i, j, k) i + j*No + k*NoNo
 #if defined(HAVE_CUDA)
-// TODO
-#define REORDER(__II, __JJ, __KK)
-#define __TO_DEVICEPTR(_v) (_v)
+#define REORDER(__II, __JJ, __KK)					\
+    reorder<<<								\
+      bs, ths								\
+	   >>>(reorder_proxy<DataFieldType<F>, __II ## __JJ ## __KK >{}, \
+		      No, Tijk, _t_buffer);
 #define DGEMM_PARTICLES(__A, __B)                   \
   atrip::xgemm<F>("T",                              \
                   "N",                              \
@@ -404,7 +463,7 @@ __global__
                   (DataFieldType<F>*)__B,           \
                   (int const*)&Nv,                  \
 		  &zero,                            \
-                  _t_buffer_p,                      \
+		  _t_buffer,			    \
 		  (int const*)&NoNo);
 #define DGEMM_HOLES(__A, __B, __TRANSB)             \
   atrip::xgemm<F>("N",                              \
@@ -413,26 +472,24 @@ __global__
                   (int const*)&No,                  \
                   (int const*)&No,                  \
                   &m_one,                           \
-                  __TO_DEVICEPTR(__A),              \
+		  __A,				    \
                   (int const*)&NoNo,                \
                   (DataFieldType<F>*)__B,           \
                   (int const*)&No,                  \
                   &zero,                            \
-                  _t_buffer_p,                      \
+		  _t_buffer,			    \
                   (int const*)&NoNo                 \
 		  );
 #define MAYBE_CONJ(_conj, _buffer)                                      \
-  cuda::maybeConjugate<<<1,1>>>((DataFieldType<F>*)_conj, (DataFieldType<F>*)_buffer, NoNoNo);
+    cuda::maybeConjugate<<<						\
+      Atrip::kernelDimensions.ooo.blocks,				\
+      Atrip::kernelDimensions.ooo.threads 				\
+		      >>>((DataFieldType<F>*)_conj, (DataFieldType<F>*)_buffer, NoNoNo);
 #else
+// NONCUDA //////////////////////////////////////////////////////////////////////
 #define REORDER(__II, __JJ, __KK)					\
-    WITH_CHRONO("doubles:reorder",                                  \
-    for (size_t k = 0; k < No; k++)                                 \
-    for (size_t j = 0; j < No; j++)                                 \
-    for (size_t i = 0; i < No; i++) {                               \
-      Tijk[_IJK_(i, j, k)] += _t_buffer_p[_IJK_(__II, __JJ, __KK)];   \
-    }                                                               \
-    )
-#define __TO_DEVICEPTR(_v) (_v)
+    reorder(reorder_proxy<DataFieldType<F>, __II ## __JJ ## __KK >{},	\
+	    No, Tijk, _t_buffer);
 #define DGEMM_PARTICLES(__A, __B)               \
   atrip::xgemm<F>("T",                          \
                   "N",                          \
@@ -445,7 +502,7 @@ __global__
                   __B,                          \
                   (int const*)&Nv,              \
                   &zero,                        \
-                  _t_buffer_p,                  \
+                  _t_buffer,                  \
                   (int const*)&NoNo             \
                   );
 #define DGEMM_HOLES(__A, __B, __TRANSB)         \
@@ -460,7 +517,7 @@ __global__
                   __B,                          \
                   (int const*)&No,              \
                   &zero,                        \
-                  _t_buffer_p,                  \
+		  _t_buffer,			\
 		  (int const*)&NoNo             \
                   );
 #define MAYBE_CONJ(_conj, _buffer)                \
@@ -469,31 +526,33 @@ __global__
 #endif
 
     F one{1.0}, m_one{-1.0}, zero{0.0};
-    DataFieldType<F> zero_h{0.0};
     const size_t NoNoNo = No*NoNo;
 #ifdef HAVE_CUDA
     DataFieldType<F>* _t_buffer;
     DataFieldType<F>* _vhhh;
-    LOG(0, "AtripCUDA") <<  "getting memory" << "\n";
     cuMemAlloc((CUdeviceptr*)&_t_buffer, NoNoNo * sizeof(DataFieldType<F>));
     cuMemAlloc((CUdeviceptr*)&_vhhh, NoNoNo * sizeof(DataFieldType<F>));
-    LOG(0, "AtripCUDA") <<  "cuda::zeroing " << "\n";
-    cuda::zeroing<<<1,1>>>((DataFieldType<F>*)_t_buffer, NoNoNo);
-    cuda::zeroing<<<1,1>>>((DataFieldType<F>*)_vhhh, NoNoNo);
+    const size_t
+      bs = Atrip::kernelDimensions.ooo.blocks,
+      ths = Atrip::kernelDimensions.ooo.threads;
+    cuda::zeroing<<<bs, ths>>>((DataFieldType<F>*)_t_buffer, NoNoNo);
+    cuda::zeroing<<<bs, ths>>>((DataFieldType<F>*)_vhhh, NoNoNo);
 #else
-    F* _t_buffer = (F*)malloc(NoNoNo * sizeof(F));
-    F* _vhhh = (F*)malloc(NoNoNo * sizeof(F));
+    DataFieldType<F>* _t_buffer = (DataFieldType<F>*)malloc(NoNoNo * sizeof(F));
+    DataFieldType<F>* _vhhh = (DataFieldType<F>*)malloc(NoNoNo * sizeof(F));
+    DataFieldType<F> zero_h{0.0};
     for (size_t i=0; i < NoNoNo; i++) {
       _t_buffer[i] = zero_h;
       _vhhh[i] = zero_h;
     }
 #endif
-    //_t_buffer.reserve(NoNoNo);
-    DataFieldType<F>* _t_buffer_p = __TO_DEVICEPTR(_t_buffer);
 
+    // Set Tijk to zero
 #ifdef HAVE_CUDA
-    LOG(0, "AtripCUDA") <<  "cuda::zeroing Tijk" << "\n";
-    cuda::zeroing<<<1,1>>>((DataFieldType<F>*)Tijk, NoNoNo);
+    WITH_CHRONO("double:reorder",
+		cuda::zeroing<<<bs, ths>>>((DataFieldType<F>*)Tijk, NoNoNo);
+		// synchronize all initializations to zero
+		)
 #else
     WITH_CHRONO("double:reorder",
       for (size_t k = 0; k < NoNoNo; k++) {
@@ -501,103 +560,89 @@ __global__
        })
 #endif
 
-    LOG(0, "AtripCUDA") <<  "doing holes" << "\n";
-    // TOMERGE: replace chronos
+    // HOLES
     WITH_CHRONO("doubles:holes",
-      { // Holes part %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-
+      {
         // VhhhC[i + k*No + L*NoNo] * TABhh[L + j*No]; H1
-        LOG(0, "AtripCUDA") <<  "conj 1" << "\n";
         MAYBE_CONJ(_vhhh, VhhhC)
-        LOG(0, "AtripCUDA") <<  "done" << "\n";
         WITH_CHRONO("doubles:holes:1",
-          LOG(0, "AtripCUDA") <<  "dgemm 1" << "\n";
           DGEMM_HOLES(_vhhh, TABhh, "N")
-          LOG(0, "AtripCUDA") <<  "reorder 1" << "\n";
-          REORDER(i, k, j)
+          REORDER(I, K, J)
         )
         // VhhhC[j + k*No + L*NoNo] * TABhh[i + L*No]; H0
         WITH_CHRONO("doubles:holes:2",
-          LOG(0, "AtripCUDA") <<  "dgemm 2" << "\n";
           DGEMM_HOLES(_vhhh, TABhh, "T")
-          REORDER(j, k, i)
+          REORDER(J, K, I)
         )
 
         // VhhhB[i + j*No + L*NoNo] * TAChh[L + k*No]; H5
-        LOG(0, "AtripCUDA") <<  "conj 2" << "\n";
         MAYBE_CONJ(_vhhh, VhhhB)
-        LOG(0, "AtripCUDA") <<  "done" << "\n";
         WITH_CHRONO("doubles:holes:3",
           DGEMM_HOLES(_vhhh, TAChh, "N")
-          REORDER(i, j, k)
+          REORDER(I, J, K)
         )
         // VhhhB[k + j*No + L*NoNo] * TAChh[i + L*No]; H3
         WITH_CHRONO("doubles:holes:4",
           DGEMM_HOLES(_vhhh, TAChh, "T")
-          REORDER(k, j, i)
+          REORDER(K, J, I)
         )
 
         // VhhhA[j + i*No + L*NoNo] * TBChh[L + k*No]; H1
-        LOG(0, "AtripCUDA") <<  "conj 3" << "\n";
         MAYBE_CONJ(_vhhh, VhhhA)
         WITH_CHRONO("doubles:holes:5",
           DGEMM_HOLES(_vhhh, TBChh, "N")
-          REORDER(j, i, k)
+          REORDER(J, I, K)
         )
         // VhhhA[k + i*No + L*NoNo] * TBChh[j + L*No]; H4
         WITH_CHRONO("doubles:holes:6",
           DGEMM_HOLES(_vhhh, TBChh, "T")
-          REORDER(k, i, j)
+          REORDER(K, I, J)
         )
-
       }
     )
   #undef MAYBE_CONJ
 
-    LOG(0, "AtripCUDA") <<  "doing particles" << "\n";
+    // PARTICLES
     WITH_CHRONO("doubles:particles",
-      { // Particle part %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+      {
         // TAphh[E + i*Nv + j*NoNv] * VBCph[E + k*Nv]; P0
         WITH_CHRONO("doubles:particles:1",
           DGEMM_PARTICLES(TAphh, VBCph)
-          REORDER(i, j, k)
+          REORDER(I, J, K)
         )
         // TAphh[E + i*Nv + k*NoNv] * VCBph[E + j*Nv]; P3
         WITH_CHRONO("doubles:particles:2",
           DGEMM_PARTICLES(TAphh, VCBph)
-          REORDER(i, k, j)
+          REORDER(I, K, J)
         )
         // TCphh[E + k*Nv + i*NoNv] * VABph[E + j*Nv]; P5
         WITH_CHRONO("doubles:particles:3",
           DGEMM_PARTICLES(TCphh, VABph)
-          REORDER(k, i, j)
+          REORDER(K, I, J)
         )
         // TCphh[E + k*Nv + j*NoNv] * VBAph[E + i*Nv]; P2
         WITH_CHRONO("doubles:particles:4",
           DGEMM_PARTICLES(TCphh, VBAph)
-          REORDER(k, j, i)
+          REORDER(K, J, I)
         )
         // TBphh[E + j*Nv + i*NoNv] * VACph[E + k*Nv]; P1
         WITH_CHRONO("doubles:particles:5",
           DGEMM_PARTICLES(TBphh, VACph)
-          REORDER(j, i, k)
+          REORDER(J, I, K)
         )
         // TBphh[E + j*Nv + k*NoNv] * VCAph[E + i*Nv]; P4
         WITH_CHRONO("doubles:particles:6",
           DGEMM_PARTICLES(TBphh, VCAph)
-          REORDER(j, k, i)
+          REORDER(J, K, I)
         )
       }
     )
-    LOG(0, "AtripCUDA") <<  "particles done" << "\n";
 
   { // free resources
 #ifdef HAVE_CUDA
-    LOG(0, "AtripCUDA") <<  "free mem" << "\n";
+    cuCtxSynchronize();
     cuMemFree((CUdeviceptr)_vhhh);
     cuMemFree((CUdeviceptr)_t_buffer);
-    LOG(0, "AtripCUDA") <<  "free mem done" << "\n";
 #else
     free(_vhhh);
     free(_t_buffer);
@@ -607,8 +652,8 @@ __global__
   #undef REORDER
   #undef DGEMM_HOLES
   #undef DGEMM_PARTICLES
-  #undef _IJK_
   #else
+    const size_t NoNv = No*Nv;
     for (size_t k = 0; k < No; k++)
     for (size_t j = 0; j < No; j++)
     for (size_t i = 0; i < No; i++){