Well supported. 7 quotes from 4 sources. Free to read.
This paper presents RedPanda, a unified compilation framework for both dataflow-based CGRAs and DHLS.
For HLS, RedPanda achieves at least 34% faster execution while using fewer LUT, DSP, and FF resources.
These results demonstrate that RedPanda provides a practical unified compilation foundation for both CGRA and DHLS targets.
Redpanda is an event-driven, publish/subscribe based messaging system.
The two main performance benchmarking frameworks, Storage Benchmark Kit (SBK) and open messaging benchmark are used here to test the performance benchmarking of redpanda’s event processing system.
In this paper, SBK and open messaging frameworks have been experimentally compared with respect to their messaging capabilities (Message sending and receiving throughput) on redpanda’s event processing system.
We present the Redpanda Agentic Data Plane (ADP), an architecture built around out-of-band metadata channels: infrastructure pathways that carry security context, policy signals, and audit trails deterministically, entirely outside the agent's read and write path and across heterogeneous infrastructure.
Research query: Redpanda · jobs: 2 · on-topic sources: 4 · review: Held
The two main performance benchmarking frameworks, Storage Benchmark Kit (SBK) and open messaging benchmark are used here to test the performance benchmarking of redpanda’s event processing system. — Performance Benchmarking of Redpanda an event streaming platform using SBK and Open Messaging Frameworks (2024)
This paper presents RedPanda, a unified compilation framework for both dataflow-based CGRAs and DHLS. — RedPanda: A Unified Compilation Framework for Dataflow-Based CGRAs and High-Level Synthesis (2026)
We present the Redpanda Agentic Data Plane (ADP), an architecture built around out-of-band metadata channels: infrastructure pathways that carry security context, policy signals, and audit trails deterministically, entirely outside the agent's read and write path and across heterogeneous infrastructure. — The Importance of Out-of-Band Metadata for Safe Autonomous Agents: The Redpanda Agentic Data Plane (2026)
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The Importance of Out-of-Band Metadata for Safe Autonomous Agents: The Redpanda Agentic Data Plane (2026)
We present the Redpanda Agentic Data Plane (ADP), an architecture built around out-of-band metadata channels: infrastructure pathways that carry security context, policy signals, and audit trails deterministically, entirely outside the agent's read and write path and across heterogeneous infrastructure. (new this job) — source
RedPanda: A Unified Compilation Framework for Dataflow-Based CGRAs and High-Level Synthesis (2026)
This paper presents RedPanda, a unified compilation framework for both dataflow-based CGRAs and DHLS. (new this job) — source
For HLS, RedPanda achieves at least 34% faster execution while using fewer LUT, DSP, and FF resources. (new this job) — source
These results demonstrate that RedPanda provides a practical unified compilation foundation for both CGRA and DHLS targets. (new this job) — source
Performance Benchmarking of Redpanda an event streaming platform using SBK and Open Messaging Frameworks (2024)
Redpanda is an event-driven, publish/subscribe based messaging system. (new this job) — source
The two main performance benchmarking frameworks, Storage Benchmark Kit (SBK) and open messaging benchmark are used here to test the performance benchmarking of redpanda’s event processing system. (new this job) — source
In this paper, SBK and open messaging frameworks have been experimentally compared with respect to their messaging capabilities (Message sending and receiving throughput) on redpanda’s event processing system. (new this job) — source
Status Held. Verified claims 7. On-topic sources 4 (reused 0). Dropped 4 collector hit(s) and 0 off-topic local claim(s). Conflicts 0. Coverage: redpanda.
Sealed job 74f6ce923b1a630435024b0f2b3223e3. Shards: scholar.openalex, encyclopedia.wikipedia. Dropped 4 off-topic collector hit(s) and 0 off-topic local claim(s). Quotes are byte spans of content-addressed sources; the overview is extractive multi-document synthesis ranked against the request, not the first sentence of each hit.
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