Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-ai-compilers
My survey of literature on compilers for AI models
https://github.com/ilya-palachev/awesome-ai-compilers
- awesome-tensor-compilers
- DL-on-Silicon
- SpikeNN
- awesome-machine-learning-in-compilers
- AI-Chip
- Allamanis survey - d survey](https://github.com/src-d/awesome-machine-learning-on-source-code)
- Hardware and software optimizations for accelerating deep neural networks: Survey of current trends, challenges, and the road ahead
- The Deep Learning Compiler: A Comprehensive Survey
- An 11.5 TOPS/W 1024-MAC butterfly structure dual-core sparsity-aware neural processing unit in 8nm flagship mobile SoC
- A 7nm High-Performance and Energy-Efficient Mobile Application Processor with Tri-Cluster CPUs and a Sparsity-Aware NPU
- Centralized Generic Interfaces in Hardware/Software Co-design for AI Accelerators
- Low Power SOC Based on High Density MIM Capacitor for beyond Moore Era by Robust Power Integrity Achievement
- Extracting power supply current profile by using interposer-based low-noise probing technique for PDN design of high-density POP
- Effective Substrate Thermal Conductivity Modeling Method Extracted from Detailed Pattern for Premium SOC Packages
- AI benchmark: All about deep learning on smartphones in 2019
- Trends in AI Processor Technology
- A Systolic Dataflow Based Accelerator for CNNs
- Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices
- A Verification Framework of Neural Processing Unit for Super Resolution
- Weight Equalizing Shift Scaler-Coupled Post-training Quantization
- AI Benchmark - benchmark for DNN tasks on Mobile phones
Keywords
machine-learning
3
compiler
2
deep-learning
2
code-generation
1
high-performance-computing
1
programming-language
1
tensor
1
artificial-intelligence
1
auto-tuning
1
multi-cores
1
operating-systems
1
optimisation
1
parallel-computing
1
parallel-programming
1
parallelisation
1
parallelism
1
ai-chips
1
chip
1
processor
1