v.1.3.0

Added

• CSV defined benchmarks
• Memory access latency benchmarks
• Sample Dockerfile to build nvloom

Changed

• Retry mechanism for CUDA multicast allocations was removed

Fixed

• Freeing MNNVL memory did not have enough MPI barriers, leading to race conditions in extremely rare edge-cases
• Benchmarking algorithm sometimes would record "end event" twice. This had no impact on benchmark results.

v1.2.0

Added

• Multicast reductions benchmarks
• Option to specify iteration count (-i/--iterations)
• Option to repeat a testcase for a specified number of iterations (-c/--repeat)
• Option to repeat a testcase for a specified number of seconds (-d/--duration)
• CUDA Stream Ordered Memory Allocator was added as a new allocator option (-a cudapool)

Changed

• Caching multicast allocations is now much faster, thanks to multicast-specific memory pool

v1.1.0

Added

• Heatmap plotter
• Support for CUDA Error Log Management
• Retry mechanism for CUDA multicast allocations
• Nvloom_cli argument to set number of samples in gpu-to-rack testcases
• Nvloom_cli now prints its version, git commit it was built from, and specified buffer size
• Nvloom_cli now prints units when reporting results
• Native compilation for sm_103 on CUDA 12.9 toolkits

Changed

• Expanded README.md
• Rack-to-rack are now both unidir and bidir, and bidir rack-to-rack are symmetry-optimized.

Fixed

• Bug where requesting allocations over 4 GiB would fail with CUDA_OUT_OF_MEMORY

v1.0.0

Initial release