gdymind's Projects
A low-latency, cloud-native KVS
High Performance Learned Index on Persistent Memory
A set of learned index papers w/o notes
Pattern Recognition Course 2017
Scalable Hashing on Persistent Memory
Implementation of the paper "Decoupled Opacity Optimization for Points, Lines and Surfaces"
A platform to evaluate techniques used in multicore graph processing.
Config files for my GitHub profile.
GraphChi's C++ version. Big Data - small machine.
A variation of MQSim for simulating hybrid SSD behaviors.
Port of Facebook's LLaMA model in C/C++
Collect a list of papers on Memory Efficient training/inference
RocksDB-test
Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory
Well documented, unit tested, type checked and formatted implementation of a vanilla transformer - for educational purposes.
A high-throughput and memory-efficient inference and serving engine for LLMs