dicl Goto Github PK
Name: SKKU/UNIST Data Intensive Computing Lab
Type: Organization
Bio: SKKU/UNIST Data Intensive Computing Lab
Location: Suwon, South Korea
Blog: http://dicl.skku.edu
SKKU/UNIST Data Intensive Computing Lab's Projects
bolt
cassandra
cassandra-driver
cceh
dhl
dumbo
DUMBO
eclipse
Experimental semantic distributed MapReduce framework
eclipsed
EclipseMR governor ruby gem
ext4of
NVMe-Driven Lazy Cache Coherence for Immutable Data with NVMe over Fabrics [IEEE CLOUD '23]
fasp
Failure-Atomic Slotted Paging
fast_fair
Endurable Transient Inconsistency in Byte-Addressable Persistent B+-Tree
fbr-tree
hadoop
Mirror of Apache Hadoop
hbase-amplification
Reduce HBase read amplification from introduce dynamic block sizing and L2 KVCache
hive
Mirror of Apache Hive
listdb
ListDB: Union of Write-Ahead Logs and Persistent SkipLists for Incremental Checkpointing on Persistent Memory
lsmvbt
LS-MVBT
mobile-traces
nvwal
openchord
Java base DHT Lib
ptre
p2p training runtime environment
spfs
On Stacking a Persistent Memory File System on Legacy File Systems [FAST '23]
sqlite-ips-2vto
sunnysideupio
http://dicl.github.io/sunnysideupIO
tensorflow
Computation using data flow graphs for scalable machine learning
velox-deploy-ansible
Ansible playbook to setup velox
velox-experiments-utils
velox-hadoop
VDFS library for Hadoop
veloxdfs
DHT-based Distributed File System for MapReduce Jobs
veloxmr
Data processing component of the Velox Big Data Framework (VBDF)
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