- San Francisco, California
- https://www.einsteindb.com
- @whtcorpsinc
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In a nutshell, EinsteinDB is a persistent indexing scheme based off of LSH-KVX that exploits the distinct merits of hash index and B+-Tree index to support range scan and avoids long NVM writes for…
Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)
A framework to monitor and improve the performance of PostgreSQL using Machine Learning methods.
C++ implementation of a fast hash map and hash set using robin hood hashing
Distributed systems infrastructure used by Riak.
A record-oriented store built on FoundationDB
A privacy-focused distributed platform - start splintering your network into circuits!
Contains implementations of various algorithms for database query optimization. The algorithms cover multiple problem variants (e.g., traditional and multi-objective query optimization) and offer d…
SkinnerDB is an analytical database management system. It uses adaptive processing and reinforcement learning to find near-optimal join orders.
Signature scheme submitted to NIST's Post-Quantum Cryptography Project
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported …
Structured state space sequence models
A constant throughput, correct latency recording variant of wrk
Fortio load testing library, command line tool, advanced echo server and web UI in go (golang). Allows to specify a set query-per-second load and record latency histograms and other useful stats.
Ghidra is a software reverse engineering (SRE) framework
Development repository for the Triton language and compiler