Publications related to Batch processing

Multi-Ported GC-eDRAM Bitcell with Dynamic Port Configuration and Refresh Mechanism

Embedded memories occupy an increasingly dominant part of the area and power budgets of modern systems-on-chips (SoCs). Multi-ported embedded memories, commonly used by media SoCs and graphical processing units, occupy even more area and consume higher pow ...

MDPI2024

Stress granules quantification on fixed and live cells

Francesco Stellacci, Romain Guiet, Xufeng Xu

The custom script was written based on Fiji for measuring the number or size of stress granules inside fixed cells (using a fixed threshold) or live cells (using a local maximum). It allows the batch image data processing for the study of the effects of di ...

Zenodo2023

One-shot Garbage Collection for In-memory OLTP through Temporality-aware Version Storage

Anastasia Ailamaki, Periklis Chrysogelos, Angelos Christos Anadiotis, Syed Mohammad Aunn Raza

Most modern in-memory online transaction processing (OLTP) engines rely on multi-version concurrency control (MVCC) to provide data consistency guarantees in the presence of conflicting data accesses. MVCC improves concurrency by generating a new version o ...

ACM2023

Micro-architectural analysis of in-memory OLTP: Revisited

Anastasia Ailamaki, Danica Porobic, Utku Sirin

Micro-architectural behavior of traditional disk-based online transaction processing (OLTP) systems has been investigated extensively over the past couple of decades. Results show that traditional OLTP systems mostly under-utilize the available micro-archi ...

2021

Storage Management in Smart Data Lake

Anastasia Ailamaki, Haoqiong Bian, Bikash Chandra, Ioannis Mytilinis

Data lakes are complex ecosystems where heterogeneity prevails. Raw data of diverse formats are stored and processed, while long and expensive ETL processes are avoided. Apart from data heterogeneity, data lakes also entail hardware heterogeneity. Typical ...

2021

Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows

Nicola Marzari, Giovanni Pizzi, Martin Uhrin, Sebastiaan Philippe Huber

Over the last two decades, the field of computational science has seen a dramatic shift towards incorporating high-throughput computation and big-data analysis as fundamental pillars of the scientific discovery process. This has necessitated the developmen ...

2020

Micro-architectural Analysis of OLAP: Limitations and Opportunities

Anastasia Ailamaki, Utku Sirin

Understanding micro-architectural behavior is important for efficiently using hardware resources. Recent work has shown that in-memory online transaction processing (OLTP) systems severely underutilize their core micro-architecture resources [29]. Whereas, ...

ASSOC COMPUTING MACHINERY2020

Stretch: Balancing QoS and Throughput for Colocated Server Workloads on SMT Cores

Boris Robert Grot, Siddharth Gupta

In a drive to maximize resource utilization, today's datacenters are moving to colocation of latency-sensitive and batch workloads on the same server. State-of-the-art deployments, such as those at Google, colocate such diverse workloads even on a single S ...

IEEE2019

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Batch processing

Multi-Ported GC-eDRAM Bitcell with Dynamic Port Configuration and Refresh Mechanism

Stress granules quantification on fixed and live cells

One-shot Garbage Collection for In-memory OLTP through Temporality-aware Version Storage

Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing

Micro-architectural analysis of in-memory OLTP: Revisited

Storage Management in Smart Data Lake

Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows

Micro-architectural Analysis of OLAP: Limitations and Opportunities

Efficient Workload Colocation in Modern Data Centers

Stretch: Balancing QoS and Throughput for Colocated Server Workloads on SMT Cores

Graph Chatbot

Chat with Graph Search

Stress granules quantification on fixed and live cells

Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing

Efficient Workload Colocation in Modern Data Centers

Micro-architectural analysis of in-memory OLTP: Revisited

Stretch: Balancing QoS and Throughput for Colocated Server Workloads on SMT Cores

Multi-Ported GC-eDRAM Bitcell with Dynamic Port Configuration and Refresh Mechanism

One-shot Garbage Collection for In-memory OLTP through Temporality-aware Version Storage

Storage Management in Smart Data Lake

Micro-architectural Analysis of OLAP: Limitations and Opportunities

Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows