Publications by Raja Appuswamy

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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 ...

Online Transaction Processing (OLTP) deployments are migrating from on-premise to cloud settings in order to exploit the elasticity of cloud infrastructure which allows them to adapt to workload variations. However, cloud adaptation comes at the cost of re ...

Enterprise databases use storage tiering to lower capital and operational expenses. In such a setting, data waterfalls from an SSD-based high-performance tier when it is "hot" (frequently accessed) to a disk-based capacity tier and finally to a tape-based ...

Traditionally, analytical database engines have used task parallelism provided by modern multisocket multicore CPUs for scaling query execution. Over the past few years, GPUs have started gaining traction as accelerators for processing analytical queries d ...

Current Approximate Query Processing (AQP) engines are far from silver-bullet solutions, as they adopt several static design decisions that target specific workloads and deployment scenarios. Offline AQP engines target deployments with large storage budget ...

Raja Appuswamy

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HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines

A system design for elastically scaling transaction processing engines in virtualized servers

Cheap Data Analytics using Cold Storage Devices

The Five-Minute Rule 30 Years Later and Its Impact on the Storage Hierarchy

Hardware-conscious Hash-Joins on GPUs

Taster: Self-Tuning, Elastic and Online Approximate Query Processing

More Than A Network: Distributed OLTP on Clusters of Hardware Islands

Analyzing the Impact of System Architecture on the Scalability of OLTP Engines for High-Contention Workloads

The Five minute Rule Thirty Years Later and its Impact on the Storage Hierarchy

DBMS Data Loading: An Analysis on Modern Hardware

The Case For Heterogeneous HTAP

OLTP on a server-grade ARM: power, throughput and latency comparison