SuperSonic, a new open-source framework to allow compiler developers to integrate RL into compilers easily, regardless of their RL expertise.
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May 6, 2023 - Python
SuperSonic, a new open-source framework to allow compiler developers to integrate RL into compilers easily, regardless of their RL expertise.
Sacalon is a general purpose and open source programming language designed to build optimal, maintainable, reliable and efficient software.
dMazeRunner: Dataflow acceleration optimization infrastructure for coarse-grained programmable accelerators
FAROS: A Framework for Benchmarking and Analysis of Compiler Optimization
Wegman-Zadeck Sparse Conditional Constant Propagation (SCCP) discovering global constants and pruning dead control branches in linear time.
Dominator tree construction and immediate dominator calculation over directed control-flow graphs
Dominator tree construction and immediate dominator calculation over directed control-flow graphs
Wegman-Zadeck Sparse Conditional Constant Propagation (SCCP) discovering global constants and pruning dead control branches in linear time.
Production-grade genpark-ssa-dead-code-elimination-skill skill for AI agents
Production-grade genpark-ssa-dead-code-elimination-skill skill for AI agents
Blueprint for a decentralized, fault-tolerant Surface Code infrastructure leveraging branchless C99 ancilla-syndrome registers, zero-copy C++ binders, and JAX/XLA gradient isolation gates to bypass classical decoding latency walls.
Local optimizator for 3-adress code that is in SSA format. Optimizator supports neutral elimination, constant folding, constant propagation and strenght reduction and combinations of those
Pymx is a compiler written in Python 3 for the M* language which is a toy language. The compiler is intended to support to generate rv32im code from a java-like language.
A new approach for compiler idioms handling that automatically generates patterns to annotate them.
It is the program of code optimization using python....
AUR helper that builds and tracks packages tuned to your CPU with PGO, BOLT and LTO
A humble exploratory PoC for a hardware-native, optical timing-frozen control plane engine. Fuses inline CUDA PTX, RAII memory tunnels, and 4D JAX shard_map structures to investigate 0ns-overhead fault-tolerant routing for hyperscale distributed AI.
APReF: An Automatic Parallelizer of Recursive Functions for Haskell
A custom first-order deep learning optimizer combining Stochastic Variance Reduced Gradient (SVRG) methods with adaptive coordinate-wise momentum. Built from scratch in PyTorch and JAX to accelerate convergence and reduce stochastic gradient noise in highly volatile non-convex landscapes. Optimized for low signal-to-noise ratio datasets.
A distributed hardware-software co-design fabric for MoE models (DeepSeek-V3, Mixtral) that eradicates NCCL All-to-All communication stalls via distributed RoCEv2 RDMA virtual address MUX and JAX/XLA SPMD sharding.
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