Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jason Kohl

dblp:430/2343 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Hardware accelerators and domain-specific architectures › accelerator integration
on-chip accelerator integration
1.012026
Enterprise Class On-Chip Accelerator Integration · HPCA 2026
GPUs and heterogeneous computing › heterogeneous architecture
single-chip heterogeneous processor
1.012026
Enterprise Class On-Chip Accelerator Integration · HPCA 2026
Memory systems › memory hierarchy
cache hierarchy
0.312026
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
YearPublicationVenuePosition
2026 Enterprise Class On-Chip Accelerator Integration
abstract
The 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
HPCA10