bug-bounty497
google347
xss301
microsoft290
facebook261
rce211
exploit198
malware168
apple161
cve135
account-takeover115
bragging-post102
privilege-escalation96
csrf90
phishing86
browser75
writeup74
authentication-bypass69
supply-chain67
dos66
stored-xss65
reflected-xss57
ssrf56
reverse-engineering54
access-control52
react52
input-validation49
cross-site-scripting48
cloudflare47
aws47
docker46
web-security46
lfi46
smart-contract45
sql-injection45
web-application44
ethereum44
ctf43
web343
defi43
oauth43
node41
race-condition39
pentest39
open-source39
idor37
cloud37
info-disclosure36
burp-suite36
auth-bypass35
0
1/10
LAPIS is a compiler framework built on MLIR that optimizes sparse linear algebra operations across diverse architectures using Kokkos dialect for performance portability and a partition dialect for distributed memory execution. The framework demonstrates MLIR's capability to enable linear algebra-level optimizations for both sparse and dense kernels on GPUs, with applications to graph algorithms, relational databases, and scientific machine learning.
compiler
mlir
sparse-linear-algebra
performance-optimization
kokkos
distributed-memory
tensor-operations
gpu-optimization
graph-algorithms
sciml
LAPIS
MLIR
Kokkos
GraphBLAS
TenSQL
Sandia National Laboratories
Rajamanickam, Sivasankaran
Kelley, Brian Michael
Sadayappan, Ponnuswamy