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5 Commits

Author SHA1 Message Date
Joydeep Biswas fc826c5780 CUDA Cleanup 
* All Cuda* objects now take in a ContextImpl* during
  construction, and save the context instead of individual
  handles.
* Since we no longer use the legacy default stream, we need to
  explicitly synchronize the stream before performing GPU->CPU
  transfers, and CudaBuffer is responsible for such synchronization
  when asked to perform GPU to CPU transfers.
* Remove all manual syncs and relegate syncing to CudaBuffer
  before performing GPU to CPU transfers.

Change-Id: Ic73cb24174a1e09842827323280e90241716cc20
 2022-09-19 10:02:53 -05:00
Joydeep Biswas 344929647a Add CUDA GPU and Runtime Detection 
* Added GPU device and CUDA compute capability identification.
* Added GpuMemoryAvailable() to aid downstream optimizations based
  on GPU memory availability.

Change-Id: I326dc1e4b7a6a7f5571b7e5479eb9aa300ad1075
 2022-08-18 17:07:32 -05:00
Sameer Agarwal 6085e45be7 Minor CUDA cleanup. 
1. ceres_cuda_kernels.cu -> cuda_kernels.cu.cc
2. Add missing ifdef guards.
3. Fix an errant namespace

Change-Id: I81a5bfbe3c795ff0b3ef41c3bcaa037b99d5b254
 2022-08-17 16:27:13 -07:00
Sameer Agarwal 6ab435d774 Fix a missing CERES_NO_CUDA guard 
Also run format_all.sh.

Change-Id: I13902c1d3eb0d3a97548540fee13ec67c490a5ff
 2022-08-14 16:58:09 -07:00
Joydeep Biswas c914c7a2b3 CUDA CGNR, Part 2: CudaVector 
* Added CudaVector to manage and operate on vectors with CUDA.
* Added tests for CudaVector

Change-Id: I528258c8e883011e8709bddf59edb1e933af8060
 2022-08-14 12:25:45 -05:00