SPIRIT: Scalable and Persistent In-Memory Indices for Real-Time Search
S Akram, A Hasnat - ACM Transactions on Architecture and Code …, 2024 - dl.acm.org
Today, real-time search over big microblogging data requires low indexing and query
latency. Online services, therefore, prefer to host inverted indices in memory. Unfortunately …
latency. Online services, therefore, prefer to host inverted indices in memory. Unfortunately …
ESPN: Memory-Efficient Multi-vector Information Retrieval
S Shrestha, N Reddy, Z Li - Proceedings of the 2024 ACM SIGPLAN …, 2024 - dl.acm.org
Recent advances in large language models have demonstrated remarkable effectiveness in
information retrieval (IR) tasks. While many neural IR systems encode queries and …
information retrieval (IR) tasks. While many neural IR systems encode queries and …
Performance Analysis of Modern Garbage Collectors using Big Data Benchmarks in the JDK 20 Environment
Garbage collection is a fundamental aspect of Java Virtual Machine (JVM) memory
management, and choosing the optimal garbage collector is essential for attaining optimal …
management, and choosing the optimal garbage collector is essential for attaining optimal …
[PDF][PDF] SPIRIT: Scalable and Persistent In-Memory Indices for Real-Time Search
A HASNAT, S AKRAM - 2024 - shbakram.github.io
SPIRIT: Scalable and Persistent In-Memory Indices for Real-Time Search Page 1 1 SPIRIT:
Scalable and Persistent In-Memory Indices for Real-Time Search ADNAN HASNAT, Australian …
Scalable and Persistent In-Memory Indices for Real-Time Search ADNAN HASNAT, Australian …