A CUDA implementation of the transpose-free Quasi-Minimal Residual method
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Updated
Sep 2, 2025 - C++
A CUDA implementation of the transpose-free Quasi-Minimal Residual method
Fundamentals of Accelerated Computing C/C++ is a course provided by NVIDIA.
Performance comparison of two different forms of memory management in CUDA
Talos-O (Omni): A sovereign, embodied agentic organism forged on AMD Strix Halo. Integrating the Chimera Kernel (Linux 6.18), Zero-Copy Introspection, and the Phronesis Engine. Built from First Principles.
Reproducible Pascal GPU Unified Memory benchmark with Nsight and nvprof profiling
3D U-Net with tf.keras for Large-Model-Support or Unified Memory
NVML unified memory shim for NVIDIA DGX Spark Grace Blackwell GB10 - enables MAX Engine, PyTorch, and GPU monitoring
Extended the UVM Benchmark such that we can test for huge data workloads(16GiB and more). Needed to make it overflow save and add dataset creation logic for some Applications.
NVIDIA GPU validation: PCIe transport, Unified Memory prefetch, SGEMM compute, drift detection.
This project will provide an overview on how to programm a GPU. How can we exploit Unified Memory and is it an actual competition to pinned memory.
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