mjaysonnn
Ph.D. Candidate Computer Science & Engineering Penn State University
Penn State University, University ParkState College, PA
Pinned Repositories
awesome-microservices
A curated list of Microservice Architecture related principles and technologies.
DeathStarBench
Open-source benchmark suite for cloud microservices
ebpf_exporter
Prometheus exporter for custom eBPF metrics
ernest
Code for Ernest
GPUEnabler
Provides GPU awareness to Spark, Contact: @kmadhugit and @kiszk
MArk-Project
Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving
MicroBlend
sinan-local
Splice
mjaysonnn's Repositories
mjaysonnn/MicroBlend
mjaysonnn/DeathStarBench
Open-source benchmark suite for cloud microservices
mjaysonnn/sinan-local
mjaysonnn/ebpf_exporter
Prometheus exporter for custom eBPF metrics
mjaysonnn/ernest
Code for Ernest
mjaysonnn/MArk-Project
Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving
mjaysonnn/Splice
mjaysonnn/api_tutorial
mjaysonnn/Beldi
mjaysonnn/Bosch
mjaysonnn/brigade
mjaysonnn/BurScale
BurScale Source Codes and Artifacts
mjaysonnn/coco_applications
mjaysonnn/Data-Structures-and-Algorithms-1
Data Structures and Algorithms in Python
mjaysonnn/ds_and_algo_for_python
mjaysonnn/flower
Flower: A Friendly Federated Learning Framework
mjaysonnn/git-training
:checkered_flag: Don't think about git, just do git
mjaysonnn/gitfiti
abusing github commit history for the lulz
mjaysonnn/Klayers
Python Packages as AWS Lambda Layers
mjaysonnn/learning_ray
Notebooks for the O'Reilly book "Learning Ray"
mjaysonnn/loadcat
NGINX load balancer configurator
mjaysonnn/mjaysonnn
Config files for my GitHub profile.
mjaysonnn/models
Models built with TensorFlow
mjaysonnn/nightcore
Nightcore: Efficient and Scalable Serverless Computing for Latency-Sensitive, Interactive Microservices [ASPLOS '21]
mjaysonnn/nightcore-benchmarks
Benchmark workloads of Nightcore
mjaysonnn/online-cv
A minimal Jekyll Theme to host your resume (CV)
mjaysonnn/python-workout
Files for the Python Workout book
mjaysonnn/SparkGPU
GPU* or SPARK* branches are used for generating GPU code in Tungsten/concact:@kiszk, MLlib branch is used for CUDA-MLlib project/concact:@bherta
mjaysonnn/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
mjaysonnn/video-recovery