Version 1.3.0

Accel-Sim Framework Release Notes

Major Features and Improvements

Trace Generation and Processing

• Updated tracer tool to use NVBit 1.7, improving compatibility and performance [8d0785d]
• Added support for compressed (xz) trace file generation by default [b5f038e]
• Improved trace parser performance and memory usage [4be9303, 08b9e9c]
• Replaced std::cin with a custom PipeReader class for improved trace parsing [16b55f1]
• Supports execution from compressed traces, saving runtime disk space by ~20-30x.

Multi-Stream Support

• Added per-stream statistics collection and reporting [f783a4c]
• Implemented passing of CUDA stream IDs from Accel-Sim to GPGPU-Sim for accurate multi-stream simulation [f783a4c]

Hardware Correlation

• Updated correlation scripts to support parsing data from newer NVIDIA profiling tools [56c5950]
• Added support for correlating with NVIDIA H100 GPU data [3a8112f]
• Improved handling of hardware data collection for various GPU architectures [56c5950, 3a8112f]

Configuration and Benchmark Management

• Updated CUTLASS benchmark naming and configuration [8253fd6]
• Implemented truncation of excessively long simulation names to improve file system compatibility [76dfd0b]

CI/CD and Testing

• Updated CI workflows to use the latest hardware data and improve correlation testing [56c5950, 01feb3c]
• Implemented automated code formatting checks in the CI pipeline [4a90ea7]

Bug Fixes and Optimizations

• Fixed issues with running hardware traces, including proper handling of kernel limits [49fe436]
• Resolved compatibility issues with newer CUDA versions and GPU architectures [8d0785d]
• Improved error handling and reporting in various scripts [3a8112f, 49fe436]

Documentation and Usability

• Updated README files and documentation to reflect recent changes [b5f038e]
• Improved error messages and user guidance for environment setup [8d0785d]

Acknowledgments

This release represents the collective effort of numerous contributors, including researchers and developers from various institutions. Their dedication has significantly advanced the capabilities of GPU architectural simulation.

v1.2.0

Release and Integration of AccelWattch v1.0 with Accel-Sim.
For more details about AccelWattch, see:
https://github.com/accel-sim/accel-sim-framework/blob/release-accelwattch/README.md

v1.1.0

Update supporting Turing Traces and significantly reducing runtime memory usage and trace size.
For more details see:
https://github.com/accel-sim/accel-sim-framework/blob/release/release.notes.md

v1.0.0

Initial release based on ISCA 2020 paper.