taco
sparsepp
taco | sparsepp | |
---|---|---|
2 | 4 | |
1,208 | 1,230 | |
1.1% | - | |
0.0 | 1.1 | |
18 days ago | about 1 year ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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taco
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The Distributed Tensor Algebra Compiler (2022)
I agree! Much of this work was done as part of the overarching TACO project (https://github.com/tensor-compiler/taco), in an attempt to distribute sparse tensor computations (https://rohany.github.io/publications/sc2022-spdistal.pdf). MLIR recently (~mid 2022) began implementing the ideas from TACO into a "sparse tensor" dialect, so perhaps some of these ideas could make it into there. I'm working with MLIR these days, and if I could re-do the project now I would probably utilize and targetb the MLIR linalg infrastructure!
- Qué tire la primer piedra, aquien no le ha pasado así....?
sparsepp
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Updating map_benchmarks: Send your hashmaps!
Also, I'm testing https://github.com/greg7mdp/sparsepp which is based on google's sparsehash
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Who here is ready to see some 64MB blocks on mainnet?
Hey thanks for the mention /u/jtoomim. I see that you used sparsepp in CoinsViewCache. A phmap::flat_hash_map would probably be similar for memory usage, but likely faster (because of parallel lookup with SSE instructions and contiguous memory storage in one array).
What are some alternatives?
blitz - Blitz++ Multi-Dimensional Array Library for C++
PEGTL - Parsing Expression Grammar Template Library
Grassmann.jl - ⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
Inja - A Template Engine for Modern C++
CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects
Hashmaps - Various open addressing hashmap algorithms in C++
MegEngine - MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
LSHBOX - A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
dynamic_bitset - Simple Useful Libraries: C++17/20 header-only dynamic bitset
theme-ui - Build consistent, themeable React apps based on constraint-based design principles
Optional Argument in C++ - Named Optional Arguments in C++17