AIS-SNU / Optimus-CC
[ASPLOS'23] Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
☆6Updated 6 months ago
Alternatives and similar repositories for Optimus-CC:
Users that are interested in Optimus-CC are comparing it to the libraries listed below
- ☆24Updated last year
- ☆21Updated 3 months ago
- ☆10Updated last year
- A Cycle-level simulator for M2NDP☆24Updated 3 months ago
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆49Updated 9 months ago
- ☆15Updated 3 years ago
- HW/SW co-designed end-host RPC stack☆19Updated 3 years ago
- ThrillerFlow is a Dataflow Analysis and Codegen Framework written in Rust.☆14Updated 3 months ago
- ☆13Updated 3 years ago
- ☆14Updated 3 years ago
- [HPCA'24] Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System☆41Updated last year
- UPMEM LLM Framework allows profiling PyTorch layers and functions and simulate those layers/functions with a given hardware profile.☆21Updated last month
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆10Updated last year
- PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization☆27Updated last year
- ☆12Updated 2 years ago
- Supplemental materials for The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning☆23Updated 2 months ago
- ☆25Updated 4 years ago
- ☆47Updated 5 years ago
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆25Updated 2 years ago
- ☆11Updated 2 months ago
- ☆12Updated 9 months ago
- A Fast Graph Update Library for FPGA-based Dynamic Graph Processing☆9Updated 3 years ago
- ☆25Updated 3 years ago
- Heterogenous ML accelerator☆17Updated 5 months ago
- ☆23Updated 2 years ago
- A source-to-source compiler for optimizing CUDA dynamic parallelism by aggregating launches☆15Updated 5 years ago