bug-bounty498
google355
xss301
microsoft298
facebook263
rce211
exploit200
malware171
apple164
cve136
account-takeover115
bragging-post102
privilege-escalation95
csrf90
phishing86
browser75
writeup74
authentication-bypass69
supply-chain68
dos66
stored-xss65
reflected-xss57
ssrf56
reverse-engineering55
react52
access-control51
input-validation49
cross-site-scripting48
aws47
cloudflare47
docker46
web-security46
lfi46
sql-injection45
smart-contract45
ethereum44
web-application44
web343
defi43
ctf43
oauth43
node43
pentest40
race-condition39
idor37
open-source37
cloud37
burp-suite36
info-disclosure36
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
0
2/10
opinion
An analysis of why Gleam is well-suited for AI coding agent workflows, focusing on how the language's type system, exhaustive pattern matching, and fast compilation create tight feedback loops that enable agents to self-correct without human intervention.
ai-coding-agents
programming-language
type-safety
compiler
null-safety
error-handling
feedback-loops
development-workflow
gleam-language
code-generation
Gleam
Claude Code
OpenAI Codex
Google Gemini
Curling IO
Google Cloud
GCP