xtra-computing Goto Github PK

awesome-literature-ilogs

Awesome literature on imbalanced learning on graphs

awesome-prompt-for-research

Awesome prompts for computer science research including paper editting and code debugging

briskstream

A Multicore, NUMA Optimised Data Stream Processing System

clementi

Clementi: A Scalable Multi-FPGA Graph Processing Framework

consisgad

deltaboost

GBDT-based model with efficient unlearning (SIGMOD 2023)

fedgma

Communication-Efficient Generalized Neuron Matching for Federated Learning (ICPP'23)

fedov

Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)

fedsim

A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)

fedtree

A tree-based federated learning system (MLSys 2023)

forkgraph

g3

G3: A Programmable GNN Training System on GPU

hacc_demo

hashjoin_hma

A hash join implementation optimized for many-core processors with die-stacked HBMs

hashjoinonharp

The MAIN project of the paper "Is FPGA useful for Hash Joins?"

lightrw

medusa

Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code

melia

modelgo

niid-bench

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

oebench

OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams (VLDB 2024)

omnidb

General query processing engine

on-the-fly-data-shuffling-for-opencl-based-fpgas

pathenum

Source code of "PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration", published in SIGMOD'2021 - By Shixuan Sun, Yuhang Chen, Bingsheng He, and Bryan Hooi

pmp

privml

pyper

query_on_opencl_fpga

regraph

Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines

simfl

Practical Federated Gradient Boosting Decision Trees (AAAI 2020)