Publication
ATraPos: Adaptive Transaction Processing on Hardware Islands
Related publications (35)
Adaptive table placement in NUMA architectures
Anastasia Ailamaki, Iraklis Psaroudakis
Techniques and solutions are provided for performing adaptive database table placement in a non-uniform memory access (NUMA) architecture. The adaptive table placement can occur in response to changing workloads on the NUMA nodes. For example, if a particu ...
2022Micro-architectural Analysis of Database Workloads
Database workloads have significantly evolved in the past twenty years. Traditional database systems that are mainly used to serve Online Transactional Processing (OLTP) workloads evolved into specialized database systems that are optimized for particular ...
EPFL2021Micro-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 ...
2021Improving Main-memory Database System Performance through Cooperative Multitasking
Database systems access memory either sequentially or randomly. Contrary to sequential access and despite the extensive efforts of
computer architects, compiler writers, and system builders, random access to data larger than the processor cache has been s ...
EPFL2019HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines
Anastasia Ailamaki, Periklis Chrysogelos, Manolis Karpathiotakis, Raja Appuswamy
Modern server hardware is increasingly heterogeneous as hardware accelerators, such as GPUs, are used together with multicore CPUs to meet the computational demands of modern data analytics workloads. Unfortunately, query parallelization techniques used by ...
2019A Real-Time Multi-Camera Depth Estimation ASIC with Custom On-Chip Embedded DRAM
The capability to process high-resolution videos in real-time is becoming more important in a wide variety of applications such as autonomous vehicles, virtual reality or intelligent surveillance systems. The high-accuracy and complex video processing algo ...
EPFL2019Characterization of the Impact of Hardware Islands on OLTP
Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Pinar Tözün, Ippokratis Pandis, Danica Porobic
Modern hardware is abundantly parallel and increasingly heterogeneous. The numerous processing cores have non-uniform access latencies to the main memory and processor caches, which causes variability in the communication costs. Unfortunately, database sys ...
Springer Verlag2016Scaling Up Concurrent Analytical Workloads on Multi-Core Servers
Today, an ever-increasing number of researchers, businesses, and data scientists collect and analyze massive amounts of data in database systems. The database system needs to process the resulting highly concurrent analytical workloads by exploiting modern ...
EPFL2016Toward timely, predictable and cost-effective data analytics
Modern industrial, government, and academic organizations are collecting massive amounts of data at an unprecedented scale and pace. The ability to perform timely, predictable and cost-effective analytical processing of such large data sets in order to ext ...
EPFL2016Distinguishing Crowd Dynamics in Small Teams: A Crowdsourcing Exercise in Higher Education
Christopher Tucci, Gianluigi Viscusi
Folk wisdom usually takes the number of participants as an often necessary and sufficient condition for identifying a crowd. This assumption has diffused among academics interested in crowdsourcing and collective intelligence as well. Yet, consider 50 peop ...
2016