Demo Data from VLDB 2026 / reviewers in the wild / expert
Jason Kohl
dblp:430/2343
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
GPUs and heterogeneous computing · 44% Hardware accelerators and domain-specific architectures · 44% Memory systems · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware accelerators and domain-specific architectures › accelerator integration
on-chip accelerator integration |
1.0 | 1 | 2026 | Enterprise Class On-Chip Accelerator Integration · HPCA 2026 |
GPUs and heterogeneous computing › heterogeneous architecture
single-chip heterogeneous processor |
1.0 | 1 | 2026 | Enterprise Class On-Chip Accelerator Integration · HPCA 2026 |
Memory systems › memory hierarchy
cache hierarchy |
0.3 | 1 | 2026 | Enterprise Class On-Chip Accelerator Integration · HPCA 2026 |
Methods — techniques the papers use, named apart from their topics
system architecture · 1.0chip design · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Enterprise Class On-Chip Accelerator IntegrationabstractThe IBM Z®platform and the underlying processor chip designs supporting it are optimized for processing vast amounts of data and transactions, while delivering consistent system performance, throughput, and response latencies with a sustained processor utilization of over 90 % under all workload conditions in a highly virtualized and secured computing environment. The IBM Telum® series of processor chip designs that support the platform introduced the industry to a novel modular scalable heterogeneous processor compute framework with an integrated multi-tier unified cache hierarchy all within one chip. The processor chip design leverages a unique approach to ensure all elements work in unison to continuously deliver performance to the evolving needs of mission critical workloads running on the platform while responding to those changing demands at processor clock speeds. This paper will detail the varying compute, accelerator, and cache units within the IBM Telum II processor chip design, how they adaptively work in unison without generating a cacophony of agents competing for scarce hardware resources, and how this forms the backbone of the scalable multi-processor system that our modern economy is built upon. Deanna Postles Dunn Berger, Alper Buyuktosunoglu, Craig R. Walters, Robert J. Sonnelitter, Hailey Nicholson, Ashraf ElSharif, Yamil Rivera, Avery Francois, Cédric Lichtenau, Jason Kohl |
HPCA | 10 |