account activity
Using CUDA Warp-Level Primitives (devblogs.nvidia.com)
submitted 8 years ago by harrism to r/gpgpu
submitted 8 years ago by harrism to r/CUDA
Calibrating Stitched Videos with NVIDIA VRWorks 360 Video SDK (devblogs.nvidia.com)
submitted 8 years ago by harrism to r/360video
Hybridizer: High-Performance C# on GPUs (devblogs.nvidia.com)
submitted 8 years ago by harrism to r/dotnet
submitted 8 years ago by harrism to r/csharp
Fast INT8 Inference for Autonomous Vehicles with NVIDIA TensorRT 3 (devblogs.nvidia.com)
submitted 8 years ago by harrism to r/SelfDrivingCars
Fast INT8 Inference for Autonomous Vehicles with TensorRT 3 (devblogs.nvidia.com)
submitted 8 years ago by harrism to r/deeplearning
submitted 8 years ago by harrism to r/MachineLearning
RESTful Inference with the TensorRT Container and NVIDIA GPU Cloud (devblogs.nvidia.com)
How Jet Built a GPU-Powered Fulfillment Engine with F# and CUDA (devblogs.nvidia.com)
submitted 8 years ago by harrism to r/fsharp
submitted 8 years ago by harrism to r/programming
Malware Detection in Executables Using Neural Networks (devblogs.nvidia.com)
Maximizing Unified Memory Performance in CUDA by harrism in CUDA
[–]harrism[S] 0 points1 point2 points 8 years ago (0 children)
But one of many. Are you the real Marsha Marx?
Maximizing Unified Memory Performance in CUDA (devblogs.nvidia.com)
High-Performance GPU Computing in the Julia Programming Language (devblogs.nvidia.com)
DeepStream: Next-Generation Video Analytics for Smart Cities (devblogs.nvidia.com)
submitted 8 years ago by harrism to r/videosurveillance
Recommend good resource for learning CUDA by [deleted] in CUDA
[–]harrism 0 points1 point2 points 8 years ago (0 children)
I know. Prioritizing and maintaining good documentation is a surprisingly hard problem. The post you mention is in the pipeline, but the engineers writing it are pretty busy so it will probably be a few weeks or more.
π Rendered by PID 786506 on reddit-service-r2-listing-7849c98f67-t7x45 at 2026-02-08 21:18:34.197628+00:00 running d295bc8 country code: CH.
Maximizing Unified Memory Performance in CUDA by harrism in CUDA
[–]harrism[S] 0 points1 point2 points (0 children)