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Front Matter
Pick & Mix Isolation Levels: Mixed Serialization Graph Testing
Concurrency control is an integral component in achieving high performance in many-core databases. Implementing serializable transaction processing efficiently is challenging. One approach, serialization graph testing (SGT) faithfully implements ...
BoDS: A Benchmark on Data Sortedness
Indexes in data systems accelerate data access by adding structure to otherwise unstructured data at the cost of index construction and maintenance. Data systems, and particularly, the underlying indexing data structures are designed to offer ...
Disaggregated Database Management Systems
Modern applications demand high performance and cost efficient database management systems (DBMSs). Their workloads may be diverse, ranging from online transaction processing to analytics and decision support. The cloud infrastructure enables ...
TPCx-AI on NVIDIA Jetsons
Despite their resource- and power-constrained nature, edge devices also exhibit an increase in the available compute and memory resources and heterogeneity, similar to the evolution of server hardware in the past decade. For example, NVIDIA Jetson ...
More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI
With AI systems and solutions increasingly being deployed across many industries, measuring performance of AI workloads remains a priority in computing. TPCx-AI is a new benchmarking suite developed by TPC to address this need. It provides an ...
Preliminary Scaling Characterization of TPCx-AI
TPCx-AI is the latest TPC benchmark addressing some of the numerous challenges in AI benchmarking. It has the ability to scale datasets, to emulate machine learning and deep learning end-to-end pipelines, and to provide solutions that are ...
4mbench: Performance Benchmark of Manufacturing Business Database
A massive number of networked sensors are incorporated into the manufacturing business field, enabling its whole manufacturing process to be monitored and transformed into digital records. Intensive analysis of these digital assets has the ...
Benchmarking Considerations for Trustworthy and Responsible AI (Panel)
Continuing growth of Artificial Intelligence (AI) adoption across enterprises and governments around the world has fueled the demand for trustworthy AI systems and applications. The need ranges from the so-called Explainable or Interpretable AI to ...
TPCx-AI: First Adopter’s Experience Report
This paper provides a report based on the first TPCx-AI benchmark publication.
New Initiatives in the TPC
TPC stands for stricter standards and tougher tests in system benchmarking for over 30 years, during which technology advanced enormously. In order to stay relevant the TPC had to adapt to the advancing technology or become obsolete. Initially, ...