Compression + communication for AI + science

Move less data.
Compute faster.

ZCCL advances high-performance compression and communication for AI and scientific applications, with co-designed systems that process and move data efficiently.

CompressionCPU + GPU systems
CommunicationHigh-performance collectives
Co-designCompressed-domain computing
Designed for scale

Compression and communication, designed together.

Our work advances each area independently and brings them together in end-to-end systems for AI and scientific workloads.

01

High-performance compression

Error-bounded CPU and GPU compressors target extreme throughput, high compression ratios, and scalable data reduction.

02

Efficient communication

Collective communication methods reduce data movement and support large distributed AI and scientific workloads.

03

Compression-communication co-design

Compressed-domain and homomorphic techniques connect both areas to eliminate avoidable work.

Latest compression + communication research · SC 2026

FSZ and hZCCL2 advance both sides of the stack.

FSZ advances high-throughput GPU lossy compression, while hZCCL2 co-designs vectorized homomorphic compression with collective communication.

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